WO2001069473A1 - Information distributing device and method - Google Patents

Abstract

An information distributing device, which provides an economical value to a data supplier based on data rating, sets up a continuous equivalent value relation, ensures a market reliability, and activates an information interaction, and which comprises a data center and terminals, the data center being provided with a collecting means and a providing means for economical values, and with a storage unit for storing history data for users, whereby it is possible to maintain a continuous equivalent value relation, a market reliability and an information interaction to thereby provide information with an evolution process.

Description

 Description Information distribution device and method

 The present invention relates to an information distribution device and a system including the same. Background art

 From the information society, it has virtually shifted to the information society, and the significance and quality of information itself is now being questioned. Although a large amount of information is being distributed as the information infrastructure is being developed, the quality of the information itself is likely to deteriorate.

 Since letterpress printing, which is said to have been invented by Gutenberg, the scarcity and unevenness of the information itself have been lost as the scalability of information transmission possessed by the information medium has increased, and the emergence of radio and television However, due to the establishment of the Internet, such a trend has become stronger in recent years, except for information that is particularly confidential.

 Information that is inherently concealed by its nature is not the main subject of the present invention. The information targeted primarily by the present invention is information having general value and benefiting unspecified persons. The criteria for measuring the value of such information used to be scarce and ubiquitous, and at the cost of providing it.

As far as this analysis is concerned, there is no difference between what determines the value of information and what determines the value of goods and services. Rare Certain things and services that can only be obtained in certain places are treated as high value. It is also valuable when it costs a lot to produce, distribute and provide services. In this regard, information and goods and services seem to be the same thing.

 However, when trying to find differences between them from a certain point of view, significant differences emerge.

 Rareness and unevenness are reflected in these prices without loss in the case of goods and services, and costs are naturally incorporated in the price.

 But this is not always the case for information. The development of media has made it possible to eliminate scarcity and uneven distribution instantly.

 Costs related to distribution are extremely small compared to goods and services.

 Therefore, the only factor that determines the value of information is the cost of production. When it comes to the cost of production, time, money, and human abilities are invested, and the information produced by those costs should be worth the cost and be priced accordingly.

 But in reality this is not the case. The unique nature of information is there. Goods and services are paid for when they are provided, but the provision and payment is always a pair.

 There is a price relationship right there, and that is guaranteed.

 As long as normal business is done properly, delivery and payment of goods and services are guaranteed at near-perfect levels.

On the other hand, such considerations are vague and unstable. Even if information such as time, cost and capacity is invested and information is produced, if the price relationship is not guaranteed, information producers will not have the funds to produce new information and will have to increase their capacity. I can't do that either.

 The tendency for information to be difficult to produce and for the quality of information to deteriorate as a whole arises inevitably.

 Based on this analysis, the following issues need to be verified. Here, the essence of information is grasped using a new concept of “continuous consideration”.

 If we consider the value relationship to be of unity, it will be difficult to refer to the basic property that information is improved and evolvable. When information is improved and quality is enhanced, there must be a relationship where the corresponding consideration is paid.

 It is indispensable to establish a continual price relationship in which quality is continually improved and the price corresponding to the continually improved quality is paid appropriately.

 If continuous compensation is guaranteed in the field of information, the scalability of the medium will be advantageous and information will go through the process of evolution.

 Where goods and services are fully guaranteed in terms of unity and the scarcity, uneven distribution, distribution costs, etc. are price elements, information can be the basis for prices. In order for information to have the same evolutionary process as goods and services, it must have a single price relationship and a continuous price relationship since the cost of production is only the production cost.

The next question is what kind of quality evaluation method should be used. The evaluation of goods and services is determined by several factors: scarcity, ubiquity, performance, convenience, and satisfaction.

 It is required that a certain evaluation method be established for information. Conventional information technology cannot guarantee the value relationship, especially the continuous value relationship, as described above, and has no evaluation technology, so it is inversely proportional to the development of media. In addition, it can be said that information itself has degraded its quality.

 If human civilization is roughly divided into material civilization and spiritual civilization, and if the factor of material civilization is a `` thing '' embodied by natural science, the factor of mental civilization will be produced in human science. Information. It seems surprising but true that the evolution of Information did not even establish the process, in contrast to the evolution of Things at a phenomenal rate. .

 It can be said that the cause is that the value relationship has not been established and has no continuity, or the evaluation method has not been determined as a system.

 In recent years, trading of stocks on the Internet has increased, and it has become necessary to provide appropriate information to unspecified people.

 The success of stock trading depends greatly on whether or not the information is of high quality. In the past, it was common practice to buy and sell shares by receiving information and commentary from analysts with specialized knowledge about stock transactions, but a fee is charged to Internet users. In many cases, information and explanations have been simplified to simplify the business.

However, participating in such transactions without sufficient information or knowledge There is even the danger that the market will become highly gambling and the market itself will lose its credibility.

 Transactions involving such events that fluctuate over time and involve economic profit and loss require high-quality information as a matter of fact and need to be developed as a system, but such a system has not existed in the past.

 For events that are subject to quantitative analysis, information about this can be evaluated by statistical methods, but when evaluating information about events that are to be qualitatively analyzed, new technologies are needed. Become.

 Depending on the nature and field of information, both quantitative and qualitative evaluations may be necessary.

 In addition, the quality of goods and services has been improved by combining them and complementing each other.

 Interactions in a broad sense can be recognized, and the degree of evolution has become even more remarkable from the combination of goods and goods, services and other services, and recently the fusion of goods and services. I have.

 Information is also necessary for such interactions to gain an evolutionary process.

 Goods and services have evolved by spontaneously seeking interaction with others and seeking rational combinations, as if they were magnetic.

On the other hand, information has deepened through introversion, gained independence and independence by trying to differentiate from others, and has a tendency to repel rather than merge, so that goods and services are voluntary Interactions that have been superimposed rarely occur with information. This interaction is crucial to the evolution of information, but, as mentioned earlier, because of the lack of a system that promotes interaction, as described earlier, in recent years the medium's transmission has increased rapidly. Information is deteriorating in quality.

 Although the spread of the Internet is certainly a revolutionary phenomenon, it should be positioned not as a revolution in the field of information but as a revolution in the field of goods and services. To benefit from this revolution, the above-mentioned problems need to be recognized, and conventional information technology cannot solve such problems.

 Establish an ongoing value relationship in the field of information, ensure that information is properly valued, and that information can interact synergistically, so that information is the same as goods and services. A system must be built to obtain an evolutionary process.

 The present invention seeks to solve such problems. Disclosure of the invention

 Means for solving the problem are as follows.

The data center includes a storage unit that stores data, a central processing unit that performs data search, calculation, and processing, an input unit that inputs data, and an output unit that outputs data, and is provided externally. An information distribution apparatus having a communication unit for communicating with a terminal, comprising: an identification means for identifying a member of a user of the information distribution apparatus as a member; each individual data to be evaluated by the member. The communication unit is provided with receiving means for receiving, when the data is input to the communication unit by the input unit, and when transmitting to the communication unit by the terminal, The storage unit provided in the data center includes a data box as an area in the storage unit for storing individual data,

 When the individual data is evaluated by a predetermined evaluation method and a grade or a numerical value corresponding to the grade is defined as a grade value, a method of assigning the grade and at least one of the grade values to the data box. The central processing unit includes a step,

 By outputting the individual data desired by the member from the output unit or by communicating with the terminal from the communication unit, when the member receives the individual data, a data storage box for storing the individual data. Collection means for collecting the quality value corresponding to the quality given to the member from the member receiving the individual data,

 Providing payment means for providing at least a part of the quality value to be collected to the member who supplied the individual data,

 The storage unit includes history storage means for storing data on members using the distribution device as history data,

 The member supplies the individual data, the quality value provided by the payment means when another member receives the individual data, and the collection means collects when the member supplies and receives the member. The storage unit includes a history storage unit that stores a quality value as the history data.

When the manager of the data center evaluates the individual data and determines at least one of the grace or the grace value, the individual data is classified into the grace and at least one of the grace values. It is characterized by comprising means for adding to a data box to be stored. A third-party organization specializing in the evaluation of the individual data Or, when at least one of the quality values is determined, there is provided a means for assigning at least one of the quality and the quality value to a data storage box storing the individual data. I do. When a member receiving the individual data evaluates the individual data and determines at least one of the quality and the quality value, the member receives the individual data at least one of the quality and the quality value. When a member different from the member supplying the individual data evaluates the individual data and determines the quality or at least one of the quality values, the data box is provided with a means for assigning the data box to be stored. And a means for assigning at least one of the grace and the grace value to a data pox storing the individual data.

 When the member that supplies the individual data evaluates the individual data and determines at least one of the quality or the quality value, the member that supplies the individual data and at least one of the quality and the quality value is the individual data. And a means for assigning to a data box for storing. When the individual data is evaluated by a plurality of evaluators, the central processing unit is provided with processing means for performing arbitrary statistical processing on the evaluation.

 When the individual data is evaluated, an evaluator, a reason for the evaluation, a method of statistical processing, and the like are added to a data box for storing the individual data as a basis for the evaluation.

The quality value to be paid to the member is the benefit quality value, the quality value collected from the member is the collected quality value, the benefit quality value is a positive value, and the collected quality value is a negative value. , Timely The central processing unit is provided with a summing means for summing the values. In the history data, when the benefit grade value and the collected grade value are summed by the summing means, the sum obtained is converted into an arbitrary currency, and if the sum is a positive number, the currency is paid. It is characterized by comprising a payment means, and a receipt means for receiving the currency when the value is negative.

 When storing the currency received from the member by the receiving means, the storage unit stores the amount of the currency to be stored as the history data.

 At least one of the benefit quality value and the collected quality value is provided with means for providing an arbitrary percentage of the quality value to the manager of the data center.

 The communication unit includes means for transmitting the amount of currency to be paid by the payment means to the third-party financial institution and the amount of currency to be received by the receipt means.

 When a class corresponding to either the quality or the quality value is determined, the central processing unit includes a class assigning unit that assigns the class to the data box.

 The feature is that the central processing unit includes a class assigning means for assigning the class to the member when the class of the member is determined according to the performance.

 It is characterized by comprising a data box identification means for identifying the data box.

When new individual data is produced due to the individual data stored in the data box, the individual data that caused the Means for giving guidance information on the data box storing the derived information to the data box storing the original information, wherein the newly produced individual data is used as the derived information as the derived information. You.

 A data box for storing the derived information is provided with means for giving guidance information on the data box for storing the original information.

 The relationship between the original information and the derived information is provided as the guide information to at least one of a data box storing the original information and a data box storing the derived information.

 When evaluating the individual data, the central processing unit is characterized in that the central processing unit has means for storing an evaluator, a basis for evaluation, a reason, a statistical method, and the like as the derivative information in the temporary box. Classifying means for assigning the classification to the data box when the data to be subjected to qualitative evaluation is classified as qualitative data and the data to be subjected to quantitative evaluation is classified as quantitative data. The central processing unit is provided.

 For individual data related to events that fluctuate over time, when the data to be qualitatively evaluated is qualitative data and the data to be quantitatively evaluated is classified as quantitative data, at least The central processing unit is characterized in that the central processing unit includes transmission date and time giving means for giving the date and time when the member transmitted the individual data to the data center to a data box storing the individual data.

When an application period of the quantitative data is specified, an application period in which the application period is added to a data box storing the quantitative data. It is characterized in that it is provided with an interval applying means.

 When the individual data is quantitative data relating to an event that fluctuates over time and includes data of event prediction and judgment based on the prediction, the accuracy of the data, the error rate, and the degree of error can be determined by the individual data. Means for storing the history data of the member who has supplied the data in the storage unit.

 The central processing unit includes means for storing the history data in the data box as the derivative information using the individual data supplied by the member as the original information.

 When the individual data is data on transactions of financial products such as stocks, general information on politics, economy, market conditions, industry, companies, etc. is used as the qualitative data, and the timing, quantity, Classification assigning means for classifying specific information on trend prediction and judgment on price and trading form as the quantitative data, and assigning the classification to a data box for storing the individual data when the classification is inputted by the input unit. The central processing unit is provided.

 When the evaluation is performed by the predetermined evaluation method, the evaluation is indicated by a numerical value corresponding to an arbitrary currency unit, and the numerical data is used as the quality value, and the individual data to be evaluated is stored. The central processing unit is provided with a means for applying the pox to the pox.

 The central processing unit includes means for translating a language used by the member using the terminal into another language.

When the data box is searched, the data box is provided with a search means for designating a quality, a quality value, a class, a name, a number, a symbol, a field, a type, a keyword, and other data boxes. When searching the history data of the member, a search means for designating the member's grade, grade value, class, name, pick-up, symbol, and other members is provided.

 In the method of distributing data, when a member serving as a user supplies data to a data center, the data is evaluated, and when the quality or a numerical value corresponding to the quality is determined as a quality value, At least one of the grace values is assigned to a data box as a storage area for storing the data, and the grace value assigned to the data box is received when another member receives the data. At least a part of the collected quality value is paid to the member who collects the data from the member, and the data center stores the data regarding the member as a history data, and the member stores the history data. The feature is to record the collected quality value and the provided quality value.

 It is characterized in that the data stored in the data box is evaluated by the manager of the data center.

 The data stored in the data box is evaluated by a third-party organization that specializes in evaluation.

 It is characterized by the members who receive the data stored in the data storage box being evaluated.

 It is characterized by a member different from the member that supplies the data stored in the data box being evaluated.

When the individual data is evaluated, an evaluator, a reason for the evaluation, a statistical processing method, and the like are added to a data box for storing the individual data as a basis for the evaluation. The quality value to be paid to the member is the benefit quality value, the quality value collected from the member is the collected quality value, the benefit quality value is a positive value, and the collected quality value is a negative value. , And are added up in a timely manner.

 At the time of summing, the sum is converted to the value of any currency. If the above is a positive number, pay the currency. If the sum is a negative number, receive the currency. It is characterized by the following.

 When storing the currency received from the member, the storage unit stores the amount of the stored currency as the history data.

 At least one of the benefit quality value and the collected quality value is provided to an administrator of the data center at an arbitrary ratio.

 The communication unit transmits the amount of currency to be paid by the payment unit and the amount of currency to be received by the receipt unit to a third-party financial institution.

 When a class corresponding to either the quality or the quality value is determined, the class is given to the data box. When the class of the member is determined according to the achievement, the class is given to the member.

 The method is characterized in that the overnight box is identified.

When a new individual data is produced due to the individual data stored in the data box, the individual data causing the cause is used as the original information, and the newly produced individual data is derived. The information is characterized in that guidance information on a data box storing the derived information is added to a data box storing the original information. Derived Guide information relating to a data box storing the original information is provided to a data box storing information.

 The relationship between the original information and the derived information is provided as the guide information to at least one of a data box storing the original information and a data box storing the derived information.

 When the individual data is evaluated, an evaluator, a basis for the evaluation, a reason, a statistical method, and the like are stored in the data box as the derived information.

 Regarding the individual data, data to be subjected to qualitative evaluation is regarded as qualitative data, and when the data to be subjected to quantitative evaluation is classified as quantitative data, the classification is assigned to the data box. It is characterized by

 When individual data on events that fluctuate over time are classified as qualitative data with data subject to qualitative evaluation and classified as quantitative data with data subject to quantitative evaluation, at least Regarding the quantitative data, the date and time when the member transmitted the individual data to the data center is added to a data box storing the individual data.

 When an application period of the quantitative data is designated, the application period is added to a data box for storing the quantitative data.

When the individual data is quantitative data relating to an event that fluctuates over time and includes data of event prediction and judgment based on the prediction, the accuracy of the data, the error rate, and the degree of error can be determined by the individual data. It is characterized in that it is the history data of the member that has supplied the data. It is characterized in that the history data is stored in the data box as the derivative information using the individual data supplied by the member as the original information.

 When the individual data is data on transactions of financial products such as stocks, general information on politics, economy, market conditions, industries, companies, etc. is regarded as the qualitative data, and the timing of buying and selling financial products; It is characterized in that specific information relating to a trend forecast and a judgment on a quantity, a price, and a trading form is classified as the quantitative data, and is added to a data box for storing the individual data when the classification is input by the input unit. And When the evaluation is performed by the predetermined evaluation method, the evaluation is indicated by a numerical value corresponding to an arbitrary currency unit, and the individual data to be evaluated is stored using the numerical value as the quality value. It is characterized in that it is attached to a data box.

 The language used by the member using the terminal is translated into another language.

 When the data box is searched, a quality, a quality value, a class, a name, a number, a symbol, a field, a type, a keyword, and other data boxes are designated.

 When the history data of the member is searched, the member's grade, grade value, class, name, number, symbol, and other members are designated.

An identification code is assigned to members who use the device and system, and when a member sends each piece of data to be evaluated, the data is received, stored in a data box, and the quality and quality value of the data are evaluated. To the data box, collect the grade when the data is received, and provide the data. The members who have paid will receive the grade value, give the members a history record, collect from the history data, provide benefits to the history data, add the grade values in the history data, and convert the combined grade value to any currency Converted to monetary value and given and collected currency amount.

 The data box is assigned a grade corresponding to the grade value, the members are assigned a grade, and the evaluation of the member data center, third-party organization, other members, etc., and these comprehensive evaluations are adopted. In cooperation with other financial institutions, the association between the original information and the derived information is given, and the correctness / correction rate of the data is given and disclosed. Classify qualitative data and quantitative data, search by data type and field, search by member code and rank, and search original and derived information by association. BRIEF DESCRIPTION OF THE FIGURES

 FIG. 1 is a diagram showing a configuration of an embodiment.

 FIG. 2 is a flowchart showing the embodiment. BEST MODE FOR CARRYING OUT THE INVENTION

 Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

 The device shown in FIG. 1 shows the configuration of the information distribution device according to the present invention, and this illustrated example comprehensively includes components corresponding to each embodiment.

 When realizing the information distribution apparatus according to the present invention, it is desirable to selectively adopt constituent elements of the apparatus as described in each embodiment described later.

Further, it is also possible to configure by arbitrarily combining the elements and the like of each embodiment. The procedure shown by the illustrated flowchart partially shows the characteristic procedure, and it is desirable to arbitrarily combine the elements of each embodiment.

 The terminal 1 in FIG. 1 can be used by a user such as a mobile terminal including a mobile phone, a personal computer, and has an input unit, an output unit, a storage unit, a processing unit, and a communication unit.

 The output unit 2 is attached to the data center and outputs data and other data, and the input unit 3 inputs related data.

 The receiving unit 4 and the transmitting unit 6 are provided in the communication unit 5 and communicate with the terminal 1 by wire or wirelessly.

 The search means 7 searches for the data and the programs required to extract the function of the means.

 The assigning means 8 assigns a grade, a grade value, a class, an identification code, and the like to the data box.

 The central processing unit 9 performs search, processing, and operation according to the function of the apparatus, and the identification means 10 identifies data boxes, members, and the like by using identification codes.

 Collection means 1 1 and payment means 1 2 collect and provide quality and currency amounts.

Ό.

 The history storage means 13 stores collected grade values, benefit grade values, actual results, and the like as member histories.

 When the data is supplied, the data storage box sets a data box as an area for storage in the storage unit 14 and stores the data, and the data storage center 16 may be distributed to regions. is there.

Here, "data" is expanded to have the broadest meaning of the term. Used.

 The fields covered by the data are politics, economics, academics, arts, religion, life, leisure, medical care, business, etc., including ideals, ideas, and purposes.

 In addition, evaluation of data, statistics, analysis, synthesis, compilation, commentary, introduction, questions, criticism, counter-argument, right and wrong, degree of right and wrong, right and wrong rate, mutual relevance, etc. Includes information, knowledge and systems of nature. Includes citations and introductions of other media and system data.

 Anything that can be expressed and can be distributed by an information distribution device is handled as data.

 Data center Yuichi may have a satellite center.

Terminals installed outside may be dedicated terminals to enhance their functions and improve convenience, maintainability, and trouble prevention.

 A dedicated terminal makes it easy to protect the entire system.

 There is a clear difference between "information" and "goods and services", and this difference will lead to differences in the aspect and level of evolution up to the present.

 The essence of the present invention lies in discovering the differences between the two and trying to solve them.

 Considering what makes the civilization built by mankind after thousands of years of history, one cannot help but realize that it is indeed goods and services.

 Generally, highly developed knowledge is embodied in science and technology and scientific products.

Knowledge that has not been embodied remains in the book and becomes the subject of academic research. If they do not materialize, they will be forgotten as unnecessary knowledge.

 Only knowledge that can be embodied in technology and products is accumulated and evolved.

These phenomena appear as a relationship as if the goods dominated the knowledge and the goods were the master and the knowledge was the slave.

 The same applies to services.

There is a difference between knowledge that can be embodied here and knowledge that has not been embodied here, such as the goods and people that make up the service, the technology related to the service, and the mechanism that consists of these.

 As goods and services continue to improve and evolve, there is knowledge that persists in goods and services, and knowledge that is removed at some time, even though it exists for some time.

 When there were goods and services that were perceived to be outdated by the emergence of new things, there would have been no less than a small amount of knowledge being lost along with the disappearing ones.

 Goods and services do not disappear until more advanced ones appear and retain some continuity, but knowledge is identified as goods and services and treated as unnecessary, except for latent ones And no continuity is observed.

 In this respect, the evolutionary process of goods and services can be said to be protected, but the information, which is based on knowledge, cannot be obtained today without its own evolutionary process because of its subordination. Can be considered to have been reached.

In order for information to acquire the process of evolution, the systems that create better and more advanced ones and the conditions under which those systems are maintained The matter must be maintained.

 However, what needs to be confirmed here is that the knowledge dependent on goods and services as described above is inherently such and cannot be separated from goods and services. That is the point.

 In a sense, that kind of knowledge has fulfilled its mission well.

 The present invention is based on the idea that a useful system should be provided for knowledge that exists independently of goods and services.

 Providing a system that guarantees the evolutionary process for information that depends on goods and services and that uses knowledge that can be identified, as well as information that is unique from goods and services It is desirable to be done.

 Especially for the latter, such a system needs to be established.

 As mentioned above, information with areas that overlap with goods and services has problems due to its inherent properties.However, for information that differs from it, there is a system for continuous compensation, market trust, and information interaction. If can function and contribute, information can enter the evolutionary process.

 In the following, the term data is used as a term that has a broader meaning than knowledge and information that has knowledge as one of its elements.

 When information distribution measures are realized by the present invention, data is evaluated by various methods.

The evaluation method is determined according to the field and type of data, and the evaluation will be performed properly and will be trusted. The data center's manager, a third-party organization that specializes in evaluation, data suppliers and recipients, and other members evaluate each individually and evaluate based on the reliability and marketability of each evaluation. It is possible to adopt an evaluation method that evaluates itself and multiplies the grades, grade values, figures in currency units, etc. determined by each evaluation by a rate and sums them.

 The evaluation method may be simplified depending on the field or type.

When a question is asked about the original information, the question is valuable, there is an answer to the question, and when the answer is received, the question is also evaluated as one of the derived information and its quality value etc. In this example, the quality of the question may be determined, and then the number of times the answer is received may be multiplied by the quality to provide the question to the questioner.

 This is likely to happen in highly specialized fields, such as stock trading.

 The supplier of the original information and the derivative information requests that the evaluation be changed, and it is permissible for the supplier to submit the grade, grade value, etc., and the other evaluators are asked to evaluate it again. There are areas to be addressed, and data on events that fluctuate over time are examples.

 Data center managers should not participate in the evaluation as much as possible, and should be the evaluator when the evaluation is considered to be extremely unreasonable or when provisional evaluation is required.

Third-party organizations that specialize in evaluation will evaluate data mainly in highly specialized fields, based on the request of the manager of the center and the request of the member. Supplier evaluations are hopeful and virtually tentative. In reality, it is rational in light of market principles that the receiving member values the average value, such as the grade, the grade value, and the numerical value corresponding to the unit of currency, which are determined by the evaluation at the time of receipt.

 All derived information may always be the source of new derived information and may be the source information, and a review of the assessment is always required.

 In the event of an overnight supplier, pay attention to the evaluation as well as maintenance of the contents of the supplied data, and tentatively submit a grade value, etc. in case of unreasonably low or unreasonably high demanding a change. Is desirable.

 The data center operates in cooperation with a third-party financial institution to ensure that receipt and payment of currencies is performed when the collected grade value and the benefit grade value are combined, and the member's historical data is collected. to manage.

 The member who has many troubles, such as lack of quality value or deposit, should be recorded in the historical data, and the record should be disclosed to the supplier of the data received by the member.

 Basically, such risks shall be treated as mutual responsibility.

 It is desirable that the original information and the derived information be improved in quality through interaction, and if there is no restriction on the production of derived information with a new type of association, it is accepted. .

The field to which the present invention is applied is not limited. For example, reports about medical institutions, government and product claims, bargain information, advertisements, creations, academic papers, opinions on politics, etc. are supplied with all kinds of data, and derived data is used to produce derivative information, which is valuable In the evenings, those that have developed and have no value are ignored and eliminated. If you are not afraid to be criticized and refuted by influential data, all data will be distributed by the distribution device of the present invention, including commercial advertisements, announcements of candidates for elections, and accusations of public interest. . All data is available and distributed, provided that it adheres to the philosophy of honesty and fairness.

Example 1:

 As one of the embodiments, a data center will be set up, and the data center manager and members will use the system by outputting and inputting data, and transmitting and receiving data.

 The storage unit has a storage unit and stores all related data. The central processing unit performs search, calculation, and processing, and makes the system function.

 Members can receive services by inputting and outputting at the data center, but in most cases, external terminals are used, and terminals are either wired or wireless. Communicates with

 Terminals are PCs, mobile terminals, mobile phones, etc. In some cases, dedicated terminals are used.

 If it is a dedicated terminal, it is easy to take measures to prevent hackers, prevent copying that violates the rules, and prevent other troubles.

 Data centers and terminals can also work with financial institution systems to pay and collect currencies.

 It is conceivable that the functions of the data center are distributed to the satellite centers installed in each region and that artificial satellites are used.

There is also a specification in which a host computer is placed and some operators are set up in remote locations. A terminal having an input unit and an output unit may be provided with a storage unit to store local data.

 Data is input and transmitted as characters, voices, and images.

 If the language is local data, it depends on the local language, but if translation is required, it is desirable to provide a translation function at the data center.

 A user of the system constituted by the information distribution apparatus according to the present invention is a member, and an identification code for identifying one member, such as a name, a number, a symbol, a code, etc., is given.

 There is no particular limitation as long as it is effective as an identification means.

 It is up to you to decide whether you are a member, or to add fields, countries and classes.

 It is optional whether or not anonymous.

 It is optional to search for members by means of identification and to search for data from member data or history data, or to obtain member identification means after data search and search for history data, etc. is there.

 It is also possible to selectively search for members by field, country, or class. In particular, selecting by class allows data to be prioritized.

 Data shall be individual data to be evaluated. Basically, it is necessary to clarify what kind of evaluation the members who provide the day are going to receive, and at what point the evaluation is required.

 Even if the content of the data is wide in addition to the evaluation target specified by the supplying member, it is ignored if the member itself specifies it.

However, if the evaluation is positively given even if it is out of the evaluation target, it is desirable that the evaluation was made for the non-evaluation and that the purpose of the evaluation should be clearly stated. New

 If the supplied member is not specified, the data will be evaluated based on how it is related to other data and where it is located.

 In the case of data as derivative information, which will be described in detail later, the relationship is clarified and the subject of evaluation is determined.

 If it is a night as the original information, if the evaluation target is unclear, the evaluation may be low and disadvantageous.

 There are no particular restrictions on the amount of individual data, but there may be some limitations.

 When the supplying member does not specify the evaluation target, the center administrator, a specialized third party, or another member specifies the evaluation target, and the supplying member does not disagree, accepts, or disagrees Nevertheless, if it is not permitted, it shall be followed. If there is any discrepancy between the specification of the evaluation target of the supplying member and the content of the data, there is a possibility that the evaluation will be disadvantageous regardless of whether it is modified by others.

 The nature of the data differs depending on whether it is quantitative data or qualitative data '. In the case of quantitative data, the evaluation target is clear and individualization is easy. The data is stored in a data box as an area in the storage unit. The area should correspond to the amount of data and should preferably be unconstrained.

 Each data box has an identification code such as a number, symbol, code, etc. for identification.

Data stored in the data box is transferred to another data pox The type of the relationship between the stored data and the relationship is added.

 When a member supplies a data center to a data center, the data box from the start to the end is set as a data box.

 At the start and end, a predetermined input operation is performed by the input unit or terminal of the data center. The first page of the data box stores the data field, type, quality, quality value, class, identification number, symbol, code, etc., and other relevant data. The box identification code and its relevance, grade, grade value, class, and class of the member supplying the data can also be described.

 The identification code of the data pox stored in the history data of the member supplying the data stored in the data box may be described.

 In some cases, the number of searches, the number of receptions, etc., as well as the type and number of derivative information, etc. are described as a reference in the data box history.

 Since data boxes are set for individual data, members will use multiple data boxes.

The identification code of the data pox used by the member may be described on the first page. When the data is out of date or should be improved, the member should record the purpose and abolish the Data Overnight box or correct the data overtime. This is also recorded in the member's history. Failure to abolish or amend will also be disadvantageous for the member's class rating. However, even if the content of the data is old, when derived information is already produced using this data as the original information and a data group is formed, there is a possibility that it will be retrieved and received by the selection of other members. Because there is It does not have to be abolished.

 Evaluations are performed by data center managers, third parties specializing in evaluations, members providing data, and other members different from those supplying data, including those receiving data, as evaluators. , De-The number of evening receptions, the number of citations, the number of derivative information produced using the data to be evaluated as the original information, and the class of the member to supply are used as data.

 If the expertise or difficulty of the field, type, or nature of the data to which the data belongs is quantified, use it as an evaluation material.

 Special information and specific information are rated higher than general information, and detailed information is rated higher than summary information.

Information, including judgments and predictions, is evaluated based on its accuracy, degree of error, and error rate.

 The rating of the supplying member may also be used as a basis for the evaluation of the data.If another member has a question about the data and does not respond to it or does not defend against criticism, the rating is lowered, Responses to questions and the contents of the justification are also evaluated.

 In principle, the initial assessment will change in subsequent situations.

 The scarcity and uneven distribution of information are also included in the evaluation data.

 Information that is supplied for the first time is more scarce as information than what is already known in other media, and information that is difficult to bring to the outside even if it is known in a limited number of media, fields, and industries. It is evaluated as highly ubiquitous information.

It is evaluated when it is highly confidential, has general value, and is legally disclosed to the outside. Time and cost for production of information Those with large costs, such as the ones, are basically given a high evaluation at the beginning.

 In the case of information that is supplied by appointing a specific member, the evaluation is determined by stipulation or by negotiation. Those that have a strong response in areas of high publicity and those that have had an impact and produced results are given high praise. The data that can be evaluated by statistical processing are quantitative data, and those that cannot be statistically processed are qualitative data. It is desirable that the data can be evaluated as quantitative data by processing such as defining a numerical value by stratification.

 Even when the predictions and judgments are incorrect, the evaluation is high when the reason for the predictions and judgments is precise. If conversion to quantitative data is difficult, arbitrarily defined evaluations after the basic evaluations based on the fields, types of expertise, production costs, rarity, uneven distribution, etc. The evaluation is represented by a series, for example, excellent, good, good, bad, or A, B, C, D, E, or a hierarchy that can be converted to a numerical value. In this case, it is desirable to obtain the average value of the evaluator's evaluation because it may be a subjective evaluation of the evaluator.

 The data is evaluated, and the evaluation is finally quantified by any given method, or the numerical value or rank is regarded as the data quality when it is arranged in a hierarchical rank. The quality of the data has properties that symbolize the reliability and quality of the data.

 The quality is represented by an integer including a negative number. Decimals are used if necessary. A negative number indicates that a negative evaluation was given.

It is also possible to express the quality by letters and signs such as alphabets and other symbols. When the quality is represented by numbers, letters, symbols, or other codes, the quality can be converted into a numerical value to make the quality comparison easier.

 By converting the quality to a quality value, it can be used as a guide for the members who receive the data, and can be used as a basis for comparison and evaluation.

 As described above, the evaluation can be discriminated by expressing the quality by the quality value when the degree of difficulty or the specialty of the field or the type of the day is different.

 In this case, data with high difficulty and specialty has a wide range of quality values. When the quality or the quality value is determined and input from the input unit, or received by the communication unit, or when the central processing unit performs a predetermined process, the quality and the quality value are stored in the data box for storing data. At least one of them is given.

 When a member selects and receives data by a predetermined search, the quality value assigned to the data box that stores the received data is collected.

 The data reception is output from the output unit of the data center or output from the terminal. Depending on the data, printout may not be allowed.

 When searching for data overnight, search the data group by data identification code or by field and type, and refer to the contents of the cover of the data box.

 It is also possible to search from other data as relevant data.

When targeting members, search by member ID code, Search the member list by field and type, select and search with reference to the member's history data.

 Whether the member receives the data should be based on the summary on the cover of the data box, the grade, the grade value, the grade of the member, the grade value, the class, the status of the related data, etc. Judge. If it is judged that there is a discrepancy between the description on the cover and the content upon receipt, the member may pay the grade value that is deemed appropriate. However, abuse of such measures is prohibited.

 Or, when receiving, if the quality values are arranged in stages until the reception is stopped, it may be possible to limit the quality values up to the reception stage.

 When only the grade is described on the cover of the data box, the central processing unit converts the grade into a grade value and collects the grade value.

 At least a part of the quality value collected from the member who is the data receiver is provided by the central processing unit to the member who is the supplier of the received data.

 Other quality values will be allocated to the operation and other necessary expenses by the manager of the data center.

 Data related to members is stored in the storage unit as history data.

The main purpose is to use the collected and paid quality values as history data. If necessary, the member's performance can be recorded in the historical data. When there is a trouble, this is also recorded as history. In addition, the evaluation of data to be provided as data for determining the rank of the member is recorded. The history storage means included in the storage unit stores totals at any time using the collected quality value and the benefit quality value of the member as the history data of each member.

 It can also record what data the collected and benefit grades received, and which members received which data. It is also desirable to record uncollected and unpaid benefits. Example 2:

 An example in which the data stored in the data pox is evaluated by the administrator of the data center.

 The administrator maintains and manages the information distribution equipment and the entire system, sets rules for the system, and aims for smooth operation.

 It is desirable that the evaluation of data be mutually performed by a third party or members, but at least the selection, combination and systematization of evaluation methods need to be performed by the administrator.

 Evaluation methods should be approved mainly by members, and at least the details should be disclosed. In addition to setting the evaluation method, when the members supply data, the grades and grades determined by the manager's evaluation with respect to the grades and grades initially determined are presented for reference. Sometimes.

 If the time of application of data relating to events that fluctuate over time is too long and some data is left untreated, it will be necessary to process the data as appropriate.

Elimination is also one of the evaluation activities. For data that has value among specific members, a reference rating may be provided. Respond to claims from other systems and allow the administrator If there is a case in which an allegation has been made against the data, and the circumstances may change the evaluation of the data, the administrator will disclose the circumstances and update the evaluation.

 If the data provider does not clarify the target, field, or type of evaluation, and the administrator acts on its behalf, this is also one of the evaluation activities.

 This is because the range of evaluation differs depending on what is to be evaluated, the field, and the type.

 Deserts that have limited value in the region should have a grade and a value that are balanced with the economic level of the region, and are suitable for managerial evaluation.

Example 3:

 Third-party organizations specializing in data evaluation can perform the evaluation. A third-party organization with specialized expertise can make advanced evaluations of evaluation methods and evaluations.

 For each area, the evaluation will be rigorous if an expert who is familiar with the area performs the evaluation. However, in this case, it is necessary to make the selection of persons strict and to be fair so as not to be biased or to have an arbitrary character.

Example 4:

 The evaluation by the member receiving the data makes the evaluation appropriate in the sense that market evaluation is added.

 In this example, when receiving the data, the receiving member evaluates the data and determines the quality or quality value.

In some embodiments, grades and grades are evaluated on the cover of the data box, as assessed by the administrator, a third party, or the supplier member, or The grades and grade values obtained as a result of integrating the evaluation of the third party and the evaluation of the members who have been the recipients up to that time using the prescribed evaluation method will be described, but it will be newly received separately In some cases, the quality of the quality or quality value may be determined by the member who is the third party.

 The evaluations of the recipient members are accumulated and used as evaluation materials by a predetermined evaluation method.

 If the value of the recipient member's evaluation is the highest or lowest within a certain range or within a certain period of time, it is necessary not to use this as a material for the evaluation. desirable. Whether the evaluation of the recipient member is appropriate or not is also taken as the member's history, and it becomes a material for evaluation of the member.

 The scope mentioned above includes region, occupation, generation, and field.

 When the member receiving the data analyzes, commentates, criticizes, refutes, agrees, adds, corrects, supplements, improves, synthesizes, classifies, edits, compiles, or otherwise processes or reproduces the data. It may be mandatory to evaluate and submit a grade or grade value.

 The information subject to criticism, processing, and reproduction is the original information.Information that originates from the original information, for example, processing information, processing information, subordinate information, diversion information, reflection information, and derived information as derivative information. The recipient who has produced the product is obliged to evaluate the original information, and it is evaluated whether or not the evaluation is appropriate. Is recorded in the storage unit.

In the case of a member who does not produce derivative information and simply receives it, it will be used as an evaluation material of the original information that is often received and will be used as a document of the performance that the original information was received. Example 5:

 There is an example in which a member other than the member who is the supplier and one member who is the receiver evaluates and determines the grade and the grade value.

 When data is supplied and derivative information is produced using this data as the original information, this data group may be evaluated. At this time, the data is not received and is evaluated based on the appearance and appearance of the data group, or some data in the data group is sampled and evaluated as a whole. In this example, the supplier of the data group is required to respond to it, and if it does not, the evaluation of the data group will be reduced.

Example 6:

 The suppliers themselves evaluate the data.

 When data is initially supplied, the supplier determines the grade or grade value for reference.

 Recipients may submit grades or grades that differ from the grades and grades specified by the supplier.

 The quality and the quality value are also determined by the manager of Data Center Yuichi or a third party.

 The quality and the quality value determined by integrating the quality and the quality value determined by each evaluation are finally taken as the quality or the quality value of the data.

 However, for data that is extremely scarce and unevenly distributed, and that has a high production cost, there are cases in which the supplier clearly states such a situation and does not allow the supplier to change the grade and value specified by the supplier. The data to be done is likely to be treated like that.

Without disclosing the content of the data, give a summary to specific members In this case, if the value is of general value, the recipient can introduce the product with the approval of the supplier and present the grade and grade based on the rating of the recipient. You can also. If the supplier so wishes, they can seek the evaluation of the data center manager or a third party. A member who considers other members to be useful in producing the data can provide a summary of the data for recruitment.

 When the quality or quality value presented by the supplier is judged to be inappropriate or when any trouble occurs, it is recorded in the storage unit as the history of the supplier.

Example 7:

 The evaluation can be statistically processed by multiplying variables by the reliability and ability of the evaluator, such as data center managers, specialized third parties, supplying members, receiving members, and other members. .

 The reliability of a member also depends on the class of the member. The following method is an example.

 Multiply the grade or grade by the data center manager by a factor of 10; two-tenths for third-party evaluations; one-tenth for suppliers; one-tenth for recipients. Multiply by 6/0 and sum the calculated values to determine the quality or quality value of the data.

 Or multiply by two-tenths for suppliers and multiply by eight-tenths for recipients.

For recipients, the average shall be determined, excluding the highest and lowest values or degrees, taking into account the class of the recipient and multiplying by different ratios according to class. You may decide to only include the ratings of certain classes of recipients. It is desirable that a certain statistical processing method be defined and disclosed. The predetermined statistical processing is processed by the central processing unit.

Example 8:

 The evaluator, the reason for the evaluation, the method of statistical processing, etc. are described on the cover of the data box as the basis for the evaluation.

 If there are multiple evaluators, it is desirable to write them together for reference. Example 9:

 In the history data of the member, the storage unit stores the benefit grade value obtained by the member and the collected grade value collected as history data, the benefit grade value is a positive number, and the collected grade value is a negative number. Equipped with summing means for summing.

 The totaling time may be based on the field or type of the event, or may be based on the wishes of the members. It can be set uniformly to reduce the burden on the data center. When there is a grade value that could not be collected, it is desirable not to count it and to bear the burden on each member so that the operation of the data center is not threatened.

 The unpaid quality values and members are stored in the storage unit, and are also recorded in the member's history data.

Example 10:

 When the sum of the collected grade value and the benefit grade value in each member's historical data results in a positive number, the value is converted to an arbitrary currency and paid to the member, and the result is negative. Receives the converted currency amount. The member must predict the collected grade value and prepaid the amount of money corresponding to the predicted grade value.

Example 11: The data center stores the pre-paid currency and the received currency, and stores the status of the currency stored in the recording unit as history data of each member. Example 12:

 The data center will receive an arbitrary percentage of the collected and benefit grades, which will be used to cover the costs of operating the data center. Example 13:

 The information distribution device includes a transmitting unit that transmits the amount of currency to be paid to the member to the third party financial institution by the communication unit and the amount of currency to be received.

Example 14:

 A class corresponding to at least one of the quality and the quality value is determined.

 The grades and grade values are divided into appropriate hierarchies corresponding to the fields and types of data.

 Fields and types of data containing specialized information will be subdivided into classes.

 For quantitative and qualitative data, the class of the qualitative data is inevitably ambiguous.

 Classes are generally represented by symbols such as A, B, C,…, first grade, second grade, ……, and others, but for example, they are represented by numbers including decimal numbers.

 The class is indicated on the cover of the data box.

Example 15:

The rank of members is also determined and recorded in the member's history. ' The grade is determined using the grade, grade value, grade, etc. of the data supplied by the members.

 When deciding the rank of members, high-quality data should be used as data rather than low-quality data. If not based on high-quality data, members may be cautious when supplying data and the system may not be activated.

 If there are many troubles and poor data maintenance, the class will be degraded. The rank of a member is used as a material in the initial presentation of the grade, grade value, and rank of data provided by the member. If a high-ranking member presents an unduly high quality value at the beginning, it will be recorded as a history and disadvantageous.

Example 16:

 The name, number, symbol, code, and other identifiable identification codes are written on the cover of the data box, and these are also listed on the list for retrieval, the cover of derived information, and the list.

 The member's history data describes the identification code, quality, quality value, class, and summary of the contents of the data box.

Example 17:

 The reason why the derivative information, which is related information, was produced is that the data box containing the data containing the derivative information is stored on the cover of the data box containing the data containing the original information. Provide guidance information such as identification code, content summary, and relevance.

Example 18:

The identification code, summary of contents, etc. of the data box where the original information that caused the derived information is stored on the cover of the data box that stores the derived information Describe relevance, etc.

Example 19:

 At least one cover of the data box that stores the original information and the data box that stores the derived information shall describe the relationship between them as the relevance. Criticism, rebuttal, agreement, diverted information as reflected information, quotation, introduction, reference, compilation, analysis as dependent information, addition, question, commentary, supplementary information, improvement as processing information, correction, removal as processing information, transfer, Describe the type and nature of integration, etc. as relevance.

Example 20:

 When the data is evaluated and the grade, grade value, class, etc. are determined, the data pox of the data pox where the data to be evaluated is stored with the evaluator, the basis of the evaluation, the reason, the statistical method, etc. as derivative information On the cover, the identification code of the data box in which the derived information is stored is described, and the relevance is guided as evaluation.

Example 21:

 Data to be subjected to qualitative evaluation shall be qualitative data, and data to be subjected to quantitative evaluation shall be recorded as quantitative data on the cover of a data storage box storing the data.

 Data containing judgments, predictions, and statistics are inherently quantitative data, but other qualitative data is based on evaluations determined by derived information.

Example 22:

 Data on events that change over time can also be categorized into qualitative and quantitative data.

General trends and analysis of politics, economy, business, life, at some point Reports on situations that are clearly limited to qualitative data are qualitative data, and when forecasts and judgments are made, the data can be evaluated based on the correctness, degree of correctness, and correctness rate, and are therefore quantitative data. .

 For data relating to events that fluctuate over time, it is desirable to record the date and time when members transmitted the qualitative data, but for quantitative data, the date and time of transmission was recorded and described on the cover of the data box. To be done.

Example 23:

 For qualitative data, the application period may be described on the cover of the data box.However, for quantitative data, the application period is preferably described. Members of the data provider will be rejected.

Example 24:

 Quantitative data on events that fluctuate over time, including data on event predictions and judgments based on the predictions, whether or not it is true, the pass / fail rate, the degree of difference from the fact, etc. Is recorded as the history of the member supplying the data. Such accuracy, error rate, and degree of error are basically determined and recorded by the supplying member itself. The correctness of these records is a good way to evaluate the rank of members.

Example 25:

 The record of the correct / incorrect, correct / incorrect rate, and the degree of correct / error in the quantitative data is stored in a data box as derivative information of the quantitative data, and an identification code is added.

Example 26: Because information on financial instruments, mainly stocks, has a clear purpose, quantitative data is more important than qualitative data. The results also show concretely about the accuracy of the prediction and judgment, the error rate, and the degree of error.

 Even when predictions and judgments are incorrect, there are cases where evaluations with high precision and uniqueness of reasoning and consideration that lead to such evaluations are highly evaluated, but in any case they are only secondary evaluations. The important thing about financial instruments is forecasts to determine the timing, form, and quantity of transactions, and the extraction and discovery of facts that are the basis for the forecasts can be said.

 General information about politics, economy, market conditions, industry, and companies can be categorized as qualitative. An important task is to identify events that can be determinants to be classified as quantitative data.

 Analyzed the timing, quantity, price and form of financial products, such as stock price charts, company financial status, investment trends, real-time stock prices, price-earnings ratio, etc. Occasionally, a quantitative night was produced.

 Data on financial instruments is classified as either qualitative data or quantitative data, and the classification is indicated on the cover of the data storage box that stores the data.

 Arbitraryness and operability must be excluded from data on financial products.

The supply of arbitrary data or data intended for manipulation will cause the system to lose trust. The data in this field is inherently highly scarce and unevenly distributed, and its production cost is not small because it is highly specialized.

 Confidentiality has also been legally lifted as a factor affecting ordinary investors.

 However, on the other hand, it is also a place of competition in pursuit of profits, so scarcity, ubiquity and confidentiality should be exchanged for being given high praise.

 Effective information for conducting a transaction in an advantageous manner naturally has high grade, grade value, class, and the like.

 When certain data is supplied, various derived information including questions are produced using this data as original information.

 The supplier of the original information should deal with the derived information in good faith and fairness, so that a high-quality data group is formed, noticed, received many times, and the member who is the supplier has a large income You will get

 When the content is good, the derived information is newly produced using the derived information as the original information, and the interaction of the information is activated.

 Successful members in this field have higher ranks, have an advantage in evaluating the data they supply, and have the potential to form large data sets on the next occasion.

 Here, the principle of continuous consideration works, and the interaction of information is activated.

 If the source of the initial information is fair and honest, the market formed there can be trusted.

Example 27:

When evaluating by the above-mentioned predetermined evaluation method, The rating can also be indicated by a corresponding numerical value.

 The use of currency numbers makes it easier for members to have a value image when rating.

 If the member chooses, it will be converted to the unit of currency of the member's desired type and will be displayed on the cover of the Data Pox instead of or together with the grade, grade value, and rank.

Example 28:

 The data center is provided with a translation function, and can translate data and guidance into a language selected by the member.

Example 29:

 Data box search is performed by quality, quality value, class, name, number, symbol, identification code, field, type, keyword, identification code for each member.

Example 30:

 Search the member's history data by member's grade, grade value, class, name, number, symbol, identification code, field, type, keyword, identification code of data box, and so on.

Example 31:

 Members who establish a data center and adhere to specified regulations are used by communicating with the data center either wired or wirelessly, typically using terminals including mobile phones.

Once the data is provided to the data center by the member, it will be evaluated by the data center operator, a third party, the member receiving the data, the member supplying the data, and other members, or a predetermined evaluation Method, the grade, class, etc. are determined. The member who receives the data by substituting the corresponding grade value or the numerical value based on the unit of the arbitrary currency, receives the said grade or the numerical value, and at least a part of the data is collected. It is paid to the member who supplied it. In addition, it is also paid to the manager of the Deiyu Center.

 Each member's collected and benefit grades are recorded and aggregated at a set time, resulting in a positive number for the member who receives a payment in the currency corresponding to that number. Members paying that amount will pay that amount of currency.

Example 32:

 It is evaluated by data center managers, third parties, and members, and the evaluations are aggregated or statistically processed.

 The number of receptions, the quantity and quality of data groups formed by the production of derivative information, maintenance, and the presence or absence of troubles are also used as evaluation materials. Example 33:

 Formal constraints are removed so that the source information and derivative information to be evaluated interact with each other to improve the quality of the data group.

 Derived information is newly generated as a result of the derived information, and all types of associations are accepted between the derived information and the original information and between the derived information. The suppliers of the data that make up the data set must be honest and fair.

Next, the contents of the above-described processing operation by the central processing unit 9 will be described with reference to a flowchart shown in FIG. The processing operation executed is the information distribution method executed by the information distribution device shown in FIG. The flow chart in FIG. 2 is a typical example, and the operation for information distribution is basically based on an arbitrary selection and combination in each embodiment. As described in the above description of the information distribution apparatus, the information distribution method according to the present invention has a basic feature that when data is supplied to the data center 16 through the terminal 1 or the input unit 3, the data is stored in the storage unit 14. When the data is stored by the data box storing means 15 and the data is received by the output unit 2 or the terminal 1, the quality value is collected by the collecting means 11, and a part of the quality value is provided to the member who has supplied the data. Benefit from 2 The benefit grade value and the collected grade value are configured to be stored in the history storage means 13. Typically, the information distribution method according to the present invention is implemented as follows. First, as shown in FIG. 2, data is supplied by the input unit 3 and the terminal 1 (step 21), stored in the storage unit 14 (step 22), and received by the output unit 2 or the terminal 1. Then, the quality value is collected by the collecting means 11 (step 23), and a part of the quality value is provided to the data supplier (step 25).

 The collection and payment of the quality value are stored in the storage unit 14 by the history storage means 13 (step 26).

 According to the present invention, information is also established on the basis of a single price relationship, and further a continuous price relationship is established. In addition, evaluation by the supplier itself, evaluation by the center, evaluation by a third party, and other members Information can be evaluated in a variety of ways, for example, through evaluations based on evaluations and comprehensive use of these evaluations.

 In particular, the addition of evaluations by other members eliminates arbitrary evaluations, biased evaluations, and operational evaluations, and makes it possible to optimize evaluations.

Also, the interaction between the original information and the derived information and the interaction between the derived information make the information objective, refined and accurate. As they evolve and become more sophisticated, they will go through the process of evolution in the system.

 The establishment of a value relationship allows information suppliers to obtain funding and reproduce information, and the proper evaluation of information trusts the market formed by the system.

 Interactions in information enable information to gain a self-sustaining evolutionary process.

 The member arbitrarily supplies and receives the original information and the derivative information.However, since the grade value collected and collected in the historical data given to the member is adjusted, as long as the rules are followed, The member of the historical data whose quality value is a positive value is guaranteed the price.

 It is desirable that the period during which the historical data is settled and the currency in which the quality value is converted be in accordance with the wishes of the member, thereby reducing the burden on the member and making the information internationally fluid. Can be planned.

 The collection and payment of quality values is settled at the risk and responsibility of the member, so that it does not impede the operation of the manager of the center, thereby ensuring the durability of the system.

 Since data boxes and members are assigned grade values and grades, members can select and receive information based on grade values and grades according to their purposes.

 Relevant information can be searched for and received from either the original information or the derived information, so that the information is accurate, and the overall scope of the field and the significance of the information become clear.

Regarding the trading of financial products, information on the required level Information can be searched, and if it is useful information, sufficient compensation will be paid, so information that was not disclosed in the conventional business form will be supplied, and highly operable information will be generated by the interaction between the information. Industrial availability to be modified

 Establish ongoing value relationships in the field of information, ensure that information is valued properly, and allow information to interact synergistically, allowing information to evolve as well as goods and services. Build the system to get the process.

Claims

The scope of the claims

1. The data center includes a storage unit for storing data, a central processing unit for searching, calculating, and processing data, an input unit for inputting data, and an output unit for outputting data. An information distribution device including a communication unit that communicates with an external terminal, comprising: a user of the information distribution device as a member; and an identification unit for identifying the member. The communication unit includes receiving means for inputting the individual data to the data center by the input unit, and receiving the individual data to the communication unit by the terminal,

 The storage unit included in the data center includes a data box as an area in the storage unit for storing individual data,

 When the individual data is evaluated by a predetermined evaluation method and a grade or a numerical value corresponding to the grade is defined as a grade value, a method of assigning the grade and at least one of the grade values to the data box. The central processing unit includes a step,

 By outputting the individual data desired by the member from the output unit or by communicating with the terminal from the communication unit, when the member receives the individual data, the member stores the individual data in the data box. Collecting means for collecting the quality value corresponding to the given quality from a member receiving the individual data,

Providing payment means for providing at least a part of the quality value to be collected to the member who supplied the individual data, The storage unit includes history storage means for storing data regarding members using the distribution device as history data,

 When the member supplies the individual data and the other member receives the individual data, the quality value to be provided by the payment means, and when the member supplies and receives the member, the collection means An information distribution device, wherein the storage unit includes history storage means for storing the quality value collected by the storage unit as the history data.

 2. In the information distribution apparatus according to claim 1, when the manager of the data center evaluates the individual data and determines at least one of the quality and the quality value, the quality and the quality are determined. An information distribution apparatus comprising: means for assigning at least one of the quality values to a data box storing the individual data.

3. In the information distribution device according to claim 1, when a third party that specializes in the evaluation of the individual data evaluates and determines at least one of the quality or the quality value, An information distribution apparatus comprising: means for assigning at least one of quality and the quality value to a data pox storing the individual data.

4. When the member receiving the individual data in the information distribution device according to claim 1 evaluates the individual data and determines at least one of the grace or the grace value, the quality and the quality are determined. An information distribution apparatus, comprising: means for assigning at least one of the values to a data box storing the individual data.

5. In the information distribution apparatus according to claim 1, when a member different from a member supplying individual data evaluates the individual data and determines at least one of the quality or the quality value, the quality is reduced. And a means for assigning at least one of the quality values to the data box storing the individual data.

 6. When the member supplying the individual data in the information distribution apparatus according to claim 1 evaluates the individual data and determines at least one of the quality and the quality value, the quality and the quality value are determined. An information distribution device, comprising: means for assigning at least one of the above to a data box for storing the individual data.

7. The information distribution device according to claim 1, wherein the central processing unit includes a processing unit that performs arbitrary statistical processing on the evaluation when the individual data is evaluated by a plurality of evaluators. Information distribution equipment

8. When the individual data is evaluated in the information distribution device according to claim 1, at least one of the evaluator, the reason for the evaluation, the statistical processing method, and the like is stored as the basis of the evaluation. An information distribution device characterized by being provided to a data box.

 9. In the information distribution apparatus according to claim 1, the quality value to be provided to the member is a benefit quality value, the quality value collected from the member is a collection quality value, the benefit quality value is a positive value, and the collected quality value is The information distribution apparatus according to claim 1, wherein the central processing unit includes a summation unit that sums the history data of the member as a negative value in a timely manner.

10. The information distribution device according to claim 1, wherein in the historical data, when a benefit grade value and a collected grade value are summed by the summing means, a numerical value obtained by summing the sum is given by an arbitrary currency. When the numerical value is a positive numerical value, a payment means for paying the currency is provided, and when the numerical value is a negative numerical value, An information distribution device comprising a receipt means for receiving the currency.

 11. The information distribution apparatus according to claim 1, further comprising: means for, when storing the currency received from the member by the receiving means, storing the amount of the stored currency as the history data in the storage unit. Information distribution equipment.

 12. The information distribution apparatus according to claim 1, further comprising: means for providing an arbitrary percentage of the quality value to a manager of the data center with respect to at least one of the benefit quality value and the collected quality value. An information distribution device characterized by the following.

 13. The information distribution device according to claim 1, wherein the communication unit includes means for transmitting a currency amount to be paid by the payment unit and a currency amount to be received by the collection unit to a third party financial institution. Characteristic information distribution device.

 14. The information distribution apparatus according to claim 1, wherein, when a class corresponding to one of the grace or the grace value is determined, a class assigning unit that assigns the class to the data box is the central processing unit. An information distribution device, which is provided in a unit.

 15. The information distribution apparatus according to claim 1, wherein the central processing unit includes a class assigning unit that assigns the class to the member when the class of the member is determined according to the performance. Information distribution equipment

16. The information distribution device according to claim 1, further comprising a data box identification unit that identifies the data box.

17. The information distribution apparatus according to claim 1, wherein, when a new individual data is produced due to the individual data stored in the data box, the individual data that caused the individual data is generated. Information, characterized in that it is provided with means for giving guidance information on the data box storing the derived information to a data box storing the original information, as the original information, and using the newly produced individual data as derived information. Distribution equipment.

18. The information distribution apparatus according to claim 1, further comprising: a means for giving guidance information on a data box storing the original information to a data storage box storing the derived information. Information distribution equipment,

19. The information distribution device according to claim 1, wherein the relationship between the original information and the derived information is set to at least one of a data box for storing the original information and a data box for storing the derived information. An information distribution device, wherein the information is provided as the guide information.

 20. The information distribution apparatus according to claim 1, wherein, when the individual data is evaluated, a means for storing an evaluator, a basis for the evaluation, a reason, a statistical method, and the like as the derived information in the data box. An information distribution device, which is provided in a processing unit.

 21. In the information distribution device according to claim 1, regarding the individual data, data to be subjected to qualitative evaluation is regarded as qualitative data, and data to be subjected to quantitative evaluation is regarded as quantitative data. The information distribution device, wherein the central processing unit includes a classification assigning unit that assigns the classification to the data box when the classification is performed.

2 2. In the information distribution device according to claim 1, for individual data on events that fluctuate over time, the data to be qualitatively evaluated is qualitative data, and the data to be quantitatively evaluated is quantified. Data and At least for the quantitative data, the transmission date and time providing means for providing the date and time when the member transmitted the individual data to the data center to a data box for storing the individual data. An information distribution device provided in the central processing unit.

 23. The information distribution device according to claim 1, wherein when an application period of the quantitative data is specified, an application period is assigned to a data box that stores the quantitative data. An information distribution device comprising means.

 24. The information distribution apparatus according to claim 1, wherein the individual data is quantitative data on an event that fluctuates with time, and the data includes a prediction of the event and a determination based on the prediction. An information distribution device, comprising: means for storing, in the storage unit, the correctness / incorrectness, correctness / error rate, and degree of correctness as the history data of the member to which the individual data is supplied.

 25. The information distribution device according to claim 1, wherein the central processing unit includes means for storing the history data in the data box as the derivative information using the individual data supplied by the member as the original information. An information distribution device characterized by the following.

26. In the information distribution device according to claim 1, when the individual data is data relating to transactions of financial instruments such as stocks, general information on politics, economy, market conditions, industry, companies, etc. is used as the qualitative data. , Categorizing, as the quantitative data, specific information relating to the trend prediction and judgment on the timing, quantity, price, and trading form of financial products, and storing the individual data when the classification is input by the input unit. The central processing unit is provided with a classification assigning means for assigning to a data box. Information distribution device.

 27. In the information distribution device according to claim 1, when the evaluation is performed by the predetermined evaluation method, the evaluation is indicated by a numerical value corresponding to a unit of an arbitrary currency, and the numerical value is used as the quality value. An information distribution apparatus, wherein the central processing unit includes means for assigning to the data box in which the individual data to be evaluated is stored.

28. The information distribution apparatus according to claim 1, wherein the central processing unit includes means for translating a language used by the member using the terminal into another language.

 29. In the information distribution device according to claim 1, when searching for the data box, a grade, a grade value, a class, a name, a number, a symbol, a field, a type, a keyword, and other data boxes are specified. An information distribution apparatus comprising: a search unit that performs search.

 30. The information distribution apparatus according to claim 1, further comprising: a search unit that specifies a member's grade, grade value, class, name, number, symbol, and other members when searching the member's history data. An information distribution device characterized by comprising:

3 1. In the method of distributing data using the data center, when a member who is a user supplies data to the data center, the data is evaluated and the quality or a numerical value corresponding to the quality is used as the quality value. When specified, at least one of the grace and the grace value is assigned to a data box as a storage area where the data is stored, and when the data is received by another member, Collecting the quality value given to the data box from the member receiving the data value, and providing at least a part of the collected quality value to the member supplying the data, An information distribution method, wherein the data center stores data relating to members as history data, and records the quality value collected by the member and the provided quality value in the history data.

 32. An information distribution method according to claim 31, wherein a data center administrator evaluates data stored in the data box.

 33. The information distribution method according to claim 31, wherein the data stored in the data box is evaluated by a third-party organization specialized in evaluation.

 34. An information distribution method according to claim 31, wherein a member receiving the data stored in the data box evaluates the information.

 35. The information distribution method according to claim 31, wherein a member different from a member supplying data stored in the data box is evaluated.

 36. When the individual data is evaluated in the information distribution method described in claim 31, the evaluator, the reason for the evaluation, the method of statistical processing, and the like are used as the basis for the evaluation. An information distribution method characterized in that the information is distributed to

 37. In the information distribution method according to claim 31, the quality value to be provided to the member is defined as a benefit quality value, the quality value collected from the member is defined as a collected quality value, and the benefit quality value is defined as a positive value. An information distribution method, characterized in that values are set to negative numbers and added up in the member's history data in a timely manner.

3 8. In the information distribution method described in claim 31, Information distribution characterized by converting the sum obtained into an amount of an arbitrary currency, paying the currency when the number is a positive number, and receiving the currency when the number is a negative number. Method.

 39. The information distribution method according to claim 31, wherein when storing currency received from a member, the storage unit stores the amount of the stored currency as the history data. .

 40. The information distribution method according to claim 31, wherein at least one of the benefit quality value and the collected quality value is provided to a manager of the data center at an arbitrary ratio. Information distribution method.

 41. The information distribution method according to claim 31, wherein the communication unit transmits to a third party financial institution the amount of currency to be paid by the payment means and the amount of currency to be received by the receipt means. Information distribution method,

42. The information distribution method according to claim 31, wherein the class is assigned to the data box when a class corresponding to either the grace or the grace value is determined. Distribution method.

43. The information distribution method according to claim 31, wherein the class is given to the member when the class of the member is determined according to the performance.

 44. The information distribution method according to claim 31, wherein the data box is identified.

45. The information distribution method according to claim 31, wherein, when new individual data is produced due to the individual data stored in the data box, the individual data that caused the new individual data is used as an original. The original information is stored as information and the newly produced individual data is used as derivative information. An information distribution method, wherein guidance information on a data box storing the derived information is added to a data box.

 46. The information distribution method according to claim 31, wherein guidance information about the data box storing the original information is added to a data box storing the derived information.

 47. The information distribution method according to claim 31, wherein the relationship between the original information and the derived information is set in at least one of a data box storing original information and a data box storing derived information. An information distribution method characterized by being provided as guidance information.

 48. The information distribution method according to claim 31, wherein, when the individual data is evaluated, an evaluator, a basis for the evaluation, a reason, a statistical method, and the like are stored in the data box as the derived information. Information distribution method.

 49. In the information distribution method according to claim 31, when the individual data is classified as qualitative data for data to be qualitatively evaluated, and the data to be subjected to quantitative evaluation is classified as quantitative data. An information distribution method, wherein the classification is given to the data box;

50. In the information distribution method according to claim 31, with respect to individual data relating to an event that fluctuates with time, data subject to qualitative evaluation is regarded as qualitative data, and is subjected to quantitative evaluation. When the data is classified as quantitative data, at least with respect to the quantitative data, a date and time when the member transmitted the individual data to the data center is added to a data box for storing the individual data. Information distribution method.

51. The information distribution method according to claim 31, wherein the quantitative data An information distribution method, wherein when the application period is specified, the application period is added to a data box that stores the quantitative data.

 52. The information distribution method according to claim 31, wherein the individual data is quantitative data relating to an event that fluctuates with time, and is data that includes prediction of the event and judgment based on the prediction. An information distribution method, wherein the correctness / error rate, correct / error rate, and degree of correctness / error of the overnight are set as the history of the member who supplied the individual data.

 53. The information distribution method according to claim 31, wherein the history data is stored in the data box as the derivative information using individual data supplied by the member as the original information. Distribution method,

54. The information distribution method according to claim 31, wherein when the individual data is data relating to transactions of financial instruments such as stocks, general information on politics, economy, market conditions, industry, companies, etc. is qualitative data. Classify specific information related to trend forecasts and judgments on the timing, quantity, price, and trading form of financial products as trading data as the quantitative data, and store the individual data when the classification is input by the input unit. An information distribution method characterized in that the information is given to an overnight box.

 55. The information distribution method according to claim 31, wherein when the evaluation is performed by the predetermined evaluation method, the evaluation is indicated by a numerical value corresponding to a unit of an arbitrary currency, and the numerical value is expressed by the value. An information distribution method, wherein a quality value is assigned to the data pox in which the individual data to be evaluated is stored.

56. The information distribution method according to claim 31, wherein a language used by the member using the terminal is translated into another language. Information distribution method.

 57. In the information distribution method according to claim 31, when searching the data box, a quality, a quality value, a class, a name, a number, a symbol, a field, a type, a keyword, and other data boxes are specified. An information distribution method that specializes in this.

 58. In the information distribution method according to claim 31, when retrieving the history data of the member, a grade, a grade value, a class, a name, a number, a symbol, and other members are designated. An information distribution method characterized by: