CN102750331A - Digital document resource synergic reading system - Google Patents
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- CN102750331A CN102750331A CN2012101748896A CN201210174889A CN102750331A CN 102750331 A CN102750331 A CN 102750331A CN 2012101748896 A CN2012101748896 A CN 2012101748896A CN 201210174889 A CN201210174889 A CN 201210174889A CN 102750331 A CN102750331 A CN 102750331A
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Abstract
The invention provides a digital document resource synergic reading system which comprises a rewriting module, an information recording module, a constructing module and an information supplying module. The rewriting module is used for respectively rewriting relative address information in obtained reader document request information and relative address information from document information supplied to user devices by at least one document service device so as to predetermine a device to serve as the communication medium between the document service device and the user devices. The information recording module is used for recording reader reading relative information of document readers. The constructing module is used for constructing the incidence relation of the readers and/or the documents based on the recorded reader reading relative information. The information supplying module is used for supplying a document reading platform to the readers based on the constructed incidence relation and the document information coming from at least one document service device. The digital document resource synergic reading system has the advantages of being capable of supplying a unified digital document resource synergic reading platform with individual reading service functions and using document as the basic unit for users aiming at various different document data bases.
Description
Technical field
The present invention relates to document reading field, particularly relate to the collaborative browsing system of a kind of digital document resource based on personalization.
Background technology
Along with the continuous development of digital technology and network technology, existing increasing bibliographic data base provides more personalized service when its required document is provided to the reader.For example, external bibliographic data base comprises: Elsevier Science, SpringLink, Wiley InterScience etc.; Domestic bibliographic data base comprises: Wei Pu, incomparably, patent documentation etc.; Progressively provide such as current awareness, preserve reader's retrieves historical even provide storage space to carry out personalized service functions such as individual document storage, management to the reader respectively to the reader.
However, because the document resource of each single bibliographic data base has the limitation of himself, most reader, for example, a plurality of different document resource databases in same field of reading often need be retrieved by scientific research personnel, Faculty and Students etc.The reader has to login respectively each bibliographic data base, and this moment, very inconvenience seemed because existing personalized service can not be shared between a plurality of bibliographic data bases.
Meanwhile, if when wanting to exchange the literature reading gains in depth of comprehension with other readers same document of reading or that have similar interest, the existing literature database does not have the means of services of correspondence yet as the reader.
In view of present existing various bibliographic data bases can not provide a kind of personalized service various kinds of document resource database, unified that adapts to for the reader; Can not the service of reading alternately of the document with cooperation, synergistic function be provided for the reader; What therefore, the utmost point was necessary existing based on network document resource is provided improves with the relevant service of document reading.
Summary of the invention
The shortcoming of prior art in view of the above; The object of the present invention is to provide the collaborative browsing system of a kind of digital document resource based on personalization; So that the document of dissimilar bibliographic data bases is offered the reader through unified document reading platform, and multiple service is provided for the reader.
For realizing above-mentioned purpose and other relevant purposes, the present invention provides a kind of digital document resource to work in coordination with browsing system, and it comprises at least:
Rewrite module; The relative address information that is used for offering with the relative address information of reader's document solicited message of being obtained and from least a document service equipment in the documentation & info of subscriber equipment is rewritten respectively, so that premise equipment is as the communications intermediary between document service equipment and the subscriber equipment;
The information logging modle, the person's that is used to write down the literature reading readers ' reading relevant information;
Make up module, be used for making up the incidence relation of reader and/or document based on the readers ' reading relevant information that is write down;
Information provides module, is used for coming to the reader document reading platform to be provided based on the documentation & info that constructed incidence relation reaches from least a document service equipment.
Preferably, said structure module comprises: personalized classification system is set up the unit, is used for setting up or upgrading reader's classification taxonomic hierarchies separately based on the readers ' reading relevant information that is write down.This personalization classification system possesses the upper-lower level hierarchy layer function.
Preferably, said structure module comprises: the information dependence is set up the unit, be used for based on the readers ' reading relevant information that is write down, and be that node is set up or new node dependence more with reader, document and classification.
Preferably, said structure module comprises: interest model is set up the unit, is used for setting up or upgrading based on the readers ' reading relevant information that is write down reader's interest model.
Preferably, said information provides module to comprise: the information recommendation unit, be used for based on reader's interest model and document, classification and and the correlation degree of information such as other readers come recommendation information to the reader.
Preferably, said structure module comprises: upright unit is set up in the interest seminar, is used for setting up or upgrading interest seminar group based on the shared classification of the personalized classification taxonomic hierarchies of reader.
Preferably, said structure module comprises: statistic unit is used to analyze and add up the readers ' reading relevant information that is write down.
As stated, digital document resource of the present invention is worked in coordination with browsing system, has following beneficial effect: can the document of different types of bibliographic data base be offered reader, the reading that helps reader through unified document reading inlet; Document and the reading behavior and the hobby that can write down the reader automatically and read; Personalized ground of ability classification and storage document; The knowledge that can disclose between pertinent literature, relevant reader and relevant classification and the three thereof is related; Also can share class now, for the reader provides a mutual discussion platform based on document the relevant of different readers.
Description of drawings
Fig. 1 is shown as the collaborative browsing system synoptic diagram of digital document resource of the present invention.
Fig. 2 is shown as the preferred synoptic diagram of document reading platform that the collaborative browsing system of digital document resource of the present invention provides.
Fig. 3 is shown as the collaborative constructed node dependence synoptic diagram of browsing system of digital document resource of the present invention.
The element numbers explanation
1 digital document resource is worked in coordination with browsing system
11 rewrite module
12 information logging modles
13 make up module
14 information provide module
Embodiment
Below through specific instantiation embodiment of the present invention is described, those skilled in the art can understand other advantages of the present invention and effect easily by the content that this instructions disclosed.The present invention can also implement or use through other different embodiment, and each item details in this instructions also can be based on different viewpoints and application, carries out various modifications or change under the spirit of the present invention not deviating from.
See also Fig. 1.Need to prove; The diagram that is provided in the present embodiment is only explained basic conception of the present invention in a schematic way; Satisfy only show in graphic with the present invention in relevant assembly but not component count, shape and plotted when implementing according to reality; Kenel, quantity and the ratio of each assembly can be a kind of random change during its actual enforcement, and its assembly layout kenel also maybe be more complicated.
As shown in Figure 1, the present invention provides a kind of digital document resource to work in coordination with browsing system.The collaborative browsing system 1 of said digital document resource comprises at least: rewriting module 11, information logging modle 12, structure module 13, information provide module 14.
Said rewriting module 11 is rewritten respectively with the relative address information in reader's document solicited message of being obtained and from the relative address information that at least a document service equipment offers in the documentation & info of subscriber equipment, so that premise equipment is as the communications intermediary between document service equipment and the subscriber equipment.
Particularly, said rewriting module 11 will be from the reader's document request address information Q that is obtained
i' in deletion comprise with the address prefix p of premise equipment as communications intermediary equipment, send the actual document request of reader Q by this said premise equipment to corresponding document service equipment
iAfter obtaining return results from the document service equipment, said rewriting module 11 offers the document service equipment link information Q of each the document service equipment in the information such as document of subscriber equipment again
I+1All add automatically with the link prefix p of premise equipment, to form Q as communications intermediary equipment
I+1'.After the reader selects in the information such as document that the document service equipment provides, the linking request Q that subscriber equipment is selected the reader
I+1' send said premise equipment earlier to, again by said premise equipment (Q behind rewriting operation
I+1'-p → Q
I+1), send to corresponding document service equipment.Move in circles thus, realized the communications intermediary function of premise equipment.
For example, the said rewriting module 11 document service equipment that all places bibliographic data base is the corresponding chained address that offers each service equipment in the information such as document of subscriber equipment is all added automatically and is comprised with the link prefix of premise equipment as the communication mediation device; The chained address that the corresponding document service equipment of the general database of dimension is offered each service equipment in the information such as document of subscriber equipment is also all added automatically and is comprised with the link prefix of premise equipment as the communication mediation device.
Wherein, said premise equipment comprises the equipment that the communication intermediary sevices can be provided, and preferably, includes but not limited to, the equipment under the said rewriting module 11 etc.Equipment under the said rewriting module 11 include but not limited to group of server that single network server, a plurality of webserver are formed or based on the cloud that is made up of the great amount of calculation machine or the webserver of cloud computing (Cloud Computing); Wherein, Cloud computing is a kind of of Distributed Calculation, a super virtual machine of being made up of the loosely-coupled computing machine collection of a group.
Wherein, The obtain manner that said rewriting module 11 is obtained reader's document solicited message includes but not limited to: 1) provided by the equipment under self; For example; Equipment E1 under the said rewriting module 11 is after the employed subscriber equipment B1 of reader A1 provides the literature search page; This subscriber equipment B1 sends back equipment E1 with the term information and the database information of the input of reader A1 in this searching page, and reader's document solicited message that then said rewriting module 11 slave unit E1 obtain comprises the address prefix information of term information, database information and corresponding device E1.2) offer said rewriting module 11 etc. by other equipment.
Said information logging modle 12 record literature reading persons' readers ' reading relevant information.
Wherein, preferably, said readers ' reading relevant information includes but not limited to: information reader and be reader institute read documents information and readers ' reading behavior relevant information of base unit etc. with the document.Preferably, said information reader includes but not limited to: 1) reader personally identifiable information; For example, user name, password, age, sex or the like; 2) reader's department information; 3) reader's professional domain information; 4) reader's type information, for example, student, teacher etc.; Said reader institute read documents information includes but not limited to: 1) by the name information of read documents; 2) by the author information of read documents; 3) by the summary info of read documents; 4) by the relevant bibliography information of read documents, for example, document source etc.; 5) by the reading time of read documents; 6) by the reading frequency of read documents; 7) scored by the reading evaluation of read documents; 8) by the significance level score value of read documents; Said readers ' reading behavior relevant information includes but not limited to: 1) reader's document is downloaded behavioural information; 2) reader's document online reading behavioural information; 3) reader's personalized classification system construction behavioural information; 4) reader's personalized document categorical behavior information; 5) reader's document inquiry behavioural information; 6) reader's document note taking behavioural information; 7) reader's document extracts behavioural information; 8) reader participates in the behavioural information of documents.
Particularly, said information logging modle 12 is based on the person's that obtains the literature reading of the premise equipment as the communications intermediary between document service equipment and the subscriber equipment readers ' reading relevant information, and gives record.
For example, the information in register interface, imported of the reader that received by said premise equipment of said information logging modle 12 is obtained reader's type information, reader personally identifiable information etc.
Again for example; Said information logging modle 12 is incited somebody to action incomparably based on said premise equipment, and the document d1 of database offers the employed subscriber equipment B11 of reader A11, the employed subscriber equipment B12 of reader A12 respectively; The frequency of reading that writes down document d1 is 2, and the time of the up-to-date read documents d1 of record reader A12 is T1.
Again for example; The document reading platform (holding the back statement) that comprises document d2 that said information logging modle 12 provides module 14 to provide based on reader A13 in said information; Evaluation to document d2 is divided into 5 stars, writes down reader A13 to by the reading evaluation of read documents d2 score being and 5 predetermined evaluation score values " 5 minutes " that star is corresponding.
Again for example; The document reading platform (holding the back statement) that comprises document d3 that said information logging modle 12 provides module 14 to provide based on reader A14 in said information; Document d3 is set to " important ", writes down reader A14 to being the predefined weight score value " 3 minute " corresponding with " important " by the significance level score value of read documents d3.
Said structure module 13 makes up the incidence relation of reader and/or document based on the readers ' reading relevant information that is write down.
For example, said structure module 13 was read by reader A21 and reader A22 based on the document d11 that is write down, and expression document d11 is associated with reader A21 and reader A22 respectively.Then reader A21 and reader A22 are associated.
Again for example, said structure module 13 is based on belong to classification c1 by the reader with document d12 and d13 equally, and then document d12 is associated with document d13.
Said information provides module 14 to come to the reader document reading platform to be provided based on the documentation & info that constructed incidence relation reaches from least a document service equipment.
Particularly, said information provides module 14 to reach the document reading platform that predetermined document reading template forms the reader based on the documentation & info of constructed incidence relation, at least a document service equipment.
For example, as shown in Figure 2, the document reading platform that it provides module 14 to offer reader A31 for information.Document reading platform includes the name of document " epidemiological study of national multicenter rheumatoid arthritis coronary risk factor " that reader A31 once read.Document reading platform comprises bibliography information such as literature author, document digest, document source, also comprises readers ' reading behavioural informations such as literature review is kept the score, individual's notes, individual's extracts, mutual discussion.Reader A31 is through after clicking " readable text " option such as human-computer interaction devices such as mouses; Said information provides module 14 generals to upgrade document reading platform based on the full text of the document " epidemiological study of national multicenter rheumatoid arthritis coronary risk factor " again, and the document reading platform after will upgrading again subsequently offers this reader A31.
As a kind of optimal way, said structure module 13 comprises that personalized classification system sets up unit (not giving diagram).
Said personalized classification system is set up the unit and is set up based on the readers ' reading relevant information that is write down or upgrade reader's classification taxonomic hierarchies separately.
For example, said personalized classification system is set up the reader A44 that is write down based on said information logging modle 12 unit and has been read document d32 that document d31 belongs to classification c21, preservation and belong to the classification taxonomic hierarchies that classification c22 sets up reader A44 and be: the classification taxonomic hierarchies that comprises classification c21 and c22.Thus; Said information provides module 14 to set up the classification system that the classification taxonomic hierarchies of setting up or upgrading in the unit is provided with reader A44 based on said personalized classification system; And this setting is added on " putting into different categories " hurdle in the document reading platform template, so that offer reader A44.
Again for example; Said personalized classification system set up the free classification c31 of reader A51 that write down based on said information logging modle 12 unit, c32 as the classification system of oneself and with classification c31 as shared classification; The classification taxonomic hierarchies of setting up reader A51 is: comprise the classification taxonomic hierarchies of classification c31 and c32, and classification c31 is set to share.
As another kind of optimal way, said structure module 13 comprises the upright unit (not giving diagram) of interest seminar establishment.
Said interest seminar is set up upright unit and is set up based on the shared classification in the personalized classification taxonomic hierarchies of reader or upgrade interest seminar group.
For example; Said interest seminar is set up and is all included " medical science " classification in the classification taxonomic hierarchies of upright unit based on reader A45, A46 and A47 and this classification is set to share; Then with reader A45, A46 and A47 separately " medical science " class all documents now merge and become " medical science " seminar group S1, forming one is the mutual discussion interest group of base unit based on document.Thus, " medical science " seminar group S1 will be shared by all readers, but have only the reader who adds concern such as A48, just can participate in mutual discussion.
As another optimal way, said structure module 13 comprises that the information dependence sets up unit (not giving diagram).
Said information dependence is set up the unit based on the readers ' reading relevant information that is write down, and is that node is set up or new node dependence more with reader, document and classification.
Wherein, Relation between reader, document and the classification comprises: belong to, read, relevant based on document, relevant based on classification, based on relevant, the content-based relation such as relevant of readers ' reading, said information dependence is set up the unit and is concerned based on those and set up the node dependence.
This technological basic thought is:
(1) come ground of equal value description node dependence with XML digraph mode, note is made G
KMWith reader, classification and document description is the node (being element or element property) in the XML document; The information therebetween dependence is described as internodal set membership, element-relation on attributes or XLink adduction relationship, and all relations are just preserved with the form complete and accurate ground of XML digraph thus;
(2) with XML digraph G
KMBe stored in the relational database of equal valuely.Theoretical based on the equivalent mappings of semi-structured data and relation data, internodal father and son, brother, adduction relationship can be stored in the relational database of equal valuely in the XML document, thereby realize the fast access of node and relationships between nodes among the figure;
(3) in reader's query script, be G with adaptive mode
KMEfficient index---G who supports frequent XPath path query of dynamic construction
KM-index.This index can upgrade according to reader's query demand and optimize adaptively, guarantees the accurate fast query in frequent XPath path, farthest reduces the space expense of index simultaneously;
(4) pass through G
KM-index fast query algorithm is realized G
KMFast query, navigation and the association of dependence between middle knowledge node and node.
Below will set up the unit to said information dependence is the algorithm that the above-mentioned basic thought of realization is adopted, i.e. G
KM-index self-adaptation makes up algorithm and fast query algorithm, describes in detail.
1, the GKM-index self-adaptation makes up algorithm
This algorithm can upgrade and optimizes index according to the reader of continuous variation inquiry adaptively; Guaranteeing that index accurately calculates under the prerequisite in frequent XPath path; Farthest reduce the index space expense, and then make up an efficient XML digraph index of supporting frequent XPath path query.
This basic idea is exactly to utilize the Query Result in frequent XPath path to supervise G
KMThe overall process that-index makes up, upgrades and optimize has reduced the Hypersegmentation of index node significantly, thereby makes it can support complicated arbitrarily frequent XPath path.
In order to make GKM-index support complicated arbitrarily frequent XPath path, adopt decomposition strategy, will be converted into towards trunk path p towards the index construct problem in complicated XPath path
MainWith some conditions path
The index construct problem.Specifically, utilize the intermediate queries result that index is carried out the back to reaching forward direction optimization exactly, make index can support trunk and condition path, index just can be supported complicated arbitrarily XPath query path like this.
If said information dependence is set up the unit the back of node is promoted to length (p to similarity
Main), the forward direction similarity is increased to length (p
c j), then the forward direction of ancestors and descendent node, back also must correspondingly be promoted to similarity.
2, G
KM-index fast query algorithm
This basic idea: the first, convert the XPath query path expression formula of any complicacy into one or more DFA (deterministic finite automaton), with G
KM-index is input operation DFA, and finds that ability Driven DF A arrives all destination nodes of end-state; The second, dissimilar to XPath query path are made quick judgement to whether comprising fuzzy solution in the present node.If do not comprise then all exact solutions are all added in the Query Result, otherwise it is carried out verification of correctness, have only through the exact solution of checking and just can add in the Query Result.
For example; As shown in Figure 3, its for said information dependence set up the reader A that sets up based on the reader A that is write down, B, C, D readers ' reading relevant information separately the unit, B, C, D, classification c1, classification c2, classification c3, classification c4, and document d1, document d2, document d3, document d4, document d5 between the dependence synoptic diagram.
Therefore; Set up the dependence that the unit is set up based on this information dependence; Said information provides module 14 can carry out the knowledge association of any degree of depth and range along the path of this dependence, thereby makes the acquiring way of resource and service efficiency greatly expanded and promote.
For example, said information provides module 14 based on the reader A dependence relevant with the C classification, with reader A read and belong to classification c1 document d21 be added on the document reading platform that offers reader C such as information such as title, chained addresses.
As another kind of optimal way, said structure module 13 comprises that interest model sets up unit (not giving diagram).
Said interest model is set up the reader was set up or upgraded in the unit based on the readers ' reading relevant information that is write down interest model.
For example, said interest model is set up the unit and is adopted I=(N W) sets up reader's interest model, and wherein N representes the mark number that user interest model is corresponding, and W representes the reader's interest characteristic, W=(W
t, W
p, W
u, W
l), W
tRepresent the classification title that this model is corresponding; W
pThe classification title of representing this type of purpose parent is generally got the classification of two-stage parent; W
uExpression is manually added the characteristic in the interest model to by the reader; W
lExpression reader's interest model is in i study of process and upgrade the newly-increased characteristic in back, at initial user interest model I
(0)In, W
lIt is an empty set.
W
t, W
p, W
u, W
lAll be the set of a doublet, be expressed as<t
i, w
i>,<t
2, w
2>..., t wherein
iRepresent a characteristic; w
iRepresent characteristic t
iWeight.W
tIn the weights of each characteristic be a; W
uIn the weights of each characteristic be b; W
pIn characteristic t, calculate its weights based on formula 1:
Wherein, l is the number of plies that classification differs in classification system structure, and the value of a, b, c all is made as 1 usually.
In addition, said interest model is set up the unit and is also upgraded the interest model of being set up based on the readers ' reading relevant information.
For example; After having browsed the document d31 that is provided as reader A41; In the evaluation option that comprises " important ", " generally " etc. that gives, select " generally ", then said interest model is set up grade of weight of characteristic relevant with document d31 in the interest model that the reader A41 that write down based on said information logging modle 12 unit reduces reader A41 to being evaluated as of document d31 " generally ".
Again for example, establishing D is to include the archives of reader to the feedback information of literature review, d
j∈ D, v
jRepresent d
jNumber of visits, t
jRepresent d
jBrowsing time, e
jRepresent the reader to document d
jOpinion rating, f
v, f
t, f
eBe respectively number of visits, the browsing time of document, the weighting function of opinion rating, W
(i)Expression reader's interest model I
(i)Interest characteristics, then said interest model is set up the unit and is upgraded interest characteristics by following formula:
Wherein, f
tAnd f
vAll be logarithmic function, f
eIt is a linear function.If document d
jNumber of visits, browsing time, opinion rating are 0 or empty, and these three functions all return a constant.
Preferably, said information provides module 14 to comprise recommendation unit (not giving diagram).
Said recommendation unit based on reader's interest model with document, classification and and the correlation degree of information such as other readers come recommendation information to the reader.
For example, said recommendation unit respectively as a vector, is confirmed reader's the interest model and the correlation degree of document based on the angle between two vectors with reader's interest model and document again, and the document that correlation degree is higher than predetermined threshold is recommended this reader.
As another optimal way, said structure module 13 comprises statistic unit (not giving diagram).
Said statistic unit analysis and the readers ' reading relevant information that statistics write down.
For example, said statistic unit carries out statistical study to the information such as the document that reader A48 browsed, notes, extracts and discussion that said information logging modle 12 write down, to offer said information logging modle 12.
Need to prove; Those skilled in the art should understand that; Above-mentioned document shown in Figure 2 reading platform only is an illustration, but not limitation of the present invention, in fact; Anyly come to provide the document reading platform of mutual cooperation with service, all within the scope of the present invention to the reader based on the constructed incidence relation of readers ' reading relevant information and from the documentation & info of at least a document service equipment; Have again; Aforementioned information provides module to set up unit, interest model based on the information dependence and sets up unit, individual character classification system and set up the relevant incidence relation of unit, interest seminar setting up upright unit and statistic unit and providing and set up or upgrade the document reading platform illustration just only that offers the reader, but not limitation of the present invention.
In sum, the collaborative browsing system of digital document resource of the present invention can offer reader, the reading that helps reader through unified document reading inlet with the document of dissimilar bibliographic data bases based on rewriting module; In addition; Document and the reading behavior and the hobby that can also write down the reader automatically and read; Can be with personalized ground of document classification and storage; And can disclose the relation between pertinent literature, relevant reader and relevant classification and the three thereof, also can share class now, for reader's community provides a mutual discussion platform based on document the relevant of different readers.Thus, the reader can also find and own like-minded reader except can personal management individual's document, lets the reader of identical hobby share the achievement of read documents each other, facilitates the interpersonal communication between the reader.So the present invention has effectively overcome various shortcoming of the prior art and the tool high industrial utilization.
The foregoing description is illustrative principle of the present invention and effect thereof only, but not is used to limit the present invention.Any be familiar with this technological personage all can be under spirit of the present invention and category, the foregoing description is modified or is changed.Therefore, have common knowledge the knowledgeable in the affiliated such as technical field, must contain by claim of the present invention not breaking away from all equivalence modifications of being accomplished under disclosed spirit and the technological thought or changing.
Claims (11)
1. a digital document resource is worked in coordination with browsing system; It is characterized in that; The collaborative browsing system of said digital document resource comprises at least: rewrite module; The relative address information that is used for offering with the relative address information of reader's document solicited message of being obtained and from least a document service equipment in the documentation & info of subscriber equipment is rewritten respectively, so that premise equipment is as the communications intermediary between document service equipment and the subscriber equipment;
The information logging modle, the person's that is used to write down the literature reading readers ' reading relevant information;
Make up module, be used for making up the incidence relation of reader and/or document based on the readers ' reading relevant information that is write down; Information provides module, is used for to provide to the reader the collaborative reading of the document platform of personalization based on constructed incidence relation and from the documentation & info of at least a document service equipment.
2. digital document resource according to claim 1 is worked in coordination with browsing system; It is characterized in that; Said structure module comprises: the classification system is set up the unit, is used for setting up or upgrading reader's personalized classification taxonomic hierarchies separately based on the readers ' reading relevant information that is write down.
3. digital document resource according to claim 1 is worked in coordination with browsing system, it is characterized in that, said structure module comprises:
The information dependence is set up the unit, is used for based on the readers ' reading relevant information that is write down, and be that node is set up or new node dependence more with reader, document and classification.
4. digital document resource according to claim 1 is worked in coordination with browsing system, it is characterized in that, said structure module comprises: interest model is set up the unit, is used for setting up or upgrading based on the readers ' reading relevant information that is write down reader's interest model.
5. digital document resource according to claim 4 is worked in coordination with browsing system, it is characterized in that said information provides module to comprise: the information recommendation unit is used for coming the recommendation information to the reader based on reader's the interest model and the correlation degree of information.
6. digital document resource according to claim 2 is worked in coordination with browsing system; It is characterized in that; Said structure module comprises: upright unit is set up in the interest seminar, uses based on the shared classification in the personalized classification taxonomic hierarchies of reader and creates automatically or upgrade interactively interest seminar group based on document.
7. digital document resource according to claim 1 is worked in coordination with browsing system, it is characterized in that, said structure module comprises: statistic unit is used to analyze and add up the readers ' reading relevant information that is write down.
8. digital document resource according to claim 1 is worked in coordination with browsing system, it is characterized in that, said readers ' reading relevant information comprises: information reader and be the reader institute read documents information and the readers ' reading behavior relevant information of base unit with the document.
9. digital document resource according to claim 8 is worked in coordination with browsing system, it is characterized in that said information reader comprises:
The reader personally identifiable information;
Reader's department information;
Reader's specialized information;
Reader's type information.
10. digital document resource according to claim 8 is worked in coordination with browsing system, it is characterized in that, said reader institute read documents information comprises:
By the name information of read documents;
By the author information of read documents;
By the summary info of read documents;
By the relevant bibliography information of read documents;
By the reading time of read documents;
By the reading frequency of read documents;
Scored by the reading evaluation of read documents;
By the significance level score value of read documents.
11. digital document resource according to claim 8 is worked in coordination with browsing system, it is characterized in that, said readers ' reading behavioural information comprises:
Reader's document is downloaded behavioural information;
Reader's document online reading behavioural information;
Reader's personalized classification system construction behavioural information;
Reader's personalized document categorical behavior information;
Reader's document inquiry behavioural information;
Reader's document note taking behavioural information;
Reader's document extracts behavioural information;
Reader's the document behavioural information of participating in discussion.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108874857A (en) * | 2018-04-13 | 2018-11-23 | 重庆三峡学院 | A kind of local records document is compiled and digitlization experiencing system |
| CN110020377A (en) * | 2018-01-02 | 2019-07-16 | 北大方正集团有限公司 | Network reading activity interactive approach, device, server, terminal and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101178717A (en) * | 2007-12-05 | 2008-05-14 | 优视动景（北京）技术服务有限公司 | Method for adaptation processing web page and web page adaptation device |
| US20080243788A1 (en) * | 2007-03-29 | 2008-10-02 | Reztlaff James R | Search of Multiple Content Sources on a User Device |
| CN101986294A (en) * | 2010-10-18 | 2011-03-16 | 林桢 | Internet Web 2.0 platform-based on-line document management system |
-
2012
- 2012-05-31 CN CN201210174889.6A patent/CN102750331B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080243788A1 (en) * | 2007-03-29 | 2008-10-02 | Reztlaff James R | Search of Multiple Content Sources on a User Device |
| CN101178717A (en) * | 2007-12-05 | 2008-05-14 | 优视动景（北京）技术服务有限公司 | Method for adaptation processing web page and web page adaptation device |
| CN101986294A (en) * | 2010-10-18 | 2011-03-16 | 林桢 | Internet Web 2.0 platform-based on-line document management system |
Non-Patent Citations (2)
| Title |
|---|
| 吴迪 等: "《数字图书馆资源远程访问模式与共享研究》", 《图书馆论坛》 * |
| 孙雨生 等: "基于语义网格的数字图书馆个性化推荐研究 ——体系结构与总体框架", 《情报理论与实践》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110020377A (en) * | 2018-01-02 | 2019-07-16 | 北大方正集团有限公司 | Network reading activity interactive approach, device, server, terminal and storage medium |
| CN108874857A (en) * | 2018-04-13 | 2018-11-23 | 重庆三峡学院 | A kind of local records document is compiled and digitlization experiencing system |
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