CN104572663A - Realizing method for intelligently searching classifiable data based on JSP - Google Patents
Realizing method for intelligently searching classifiable data based on JSP Download PDFInfo
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- CN104572663A CN104572663A CN201310479924.XA CN201310479924A CN104572663A CN 104572663 A CN104572663 A CN 104572663A CN 201310479924 A CN201310479924 A CN 201310479924A CN 104572663 A CN104572663 A CN 104572663A
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- querying
- condition
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- jsp
- query
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
Aiming at the defects that a conventional form condition querying method is simple in querying condition and low in expansibility and consumes time and labor in the querying process, the invention discloses a realizing method for intelligently searching classifiable data based on JSP. According to the method, multiple querying conditions can be selected at one time, and the querying conditions can be obtained through both intelligent screening by manually inputting key words, and through selection by virtue of fast retrieval according to classes, so that due to the method that querying conditions are firstly screened for querying secondly, the querying efficiency is greatly improved, and the working intensity of operators and the complexity are also alleviated to a certain extent. The method is particularly applicable to BS frame systems with very large query data volume and various querying conditions.
Description
Technical field
The present invention relates to the implementation method of the gradable data of a kind of intelligent search based on JSP.The invention belongs to field of computer technology.
Background technology
Along with the development of social information's technology, under B/S framework system, list query function is used more and more widely, and a usual simple queries just can affect the work efficiency of keeper.With regard to by looking into company's situation, different regions also exist all kinds of enterprise, and have multiple company below all kinds of enterprise.If keeper thinks the situation of directly inquiring about corresponding company, traditional querying method is: keeper needs first to find the title oneself wanting inquiry company in the numerous companies first existed from system, then inquire about the certain situation of the said firm according to Business Name, and general inquiry condition can only select a company.Obviously, this method can be said to be more applicable for the inquiry of small data quantity, can temporarily meet its demand for development.But along with the development of social market economy, the company set up can increase year by year, if still conventionally carry out inquiring about the efficiency that seriously can reduce inquiry undoubtedly, and the Measures compare of this traditional directory is inflexible, and its extendability is not strong yet later.
Summary of the invention
The shortcoming of, inefficiency single for traditional directory condition, invention describes the implementation method of the gradable data of a kind of intelligent search based on JSP.The method can select multiple queries condition simultaneously, both can go out querying condition by the direct intelligent screening of manual input, again can according to rank quick-searching to the condition that will inquire about.As depicted in figs. 1 and 2, specific implementation step is as follows for the operation interface of this inventive method:
Step 1: logging in system by user, clicks corresponding navigation link and enters corresponding list query page;
Step 2: by the intellectual search of input key word: " selection " button in the query region of user clicks table single-row table top, system can eject a new window, as shown in Figure 2, be used for retrieval and inquisition condition, if input Business Name in current text box up to start former height, then there will be corresponding company complete name below text box, after clicking corresponding Business Name, the said firm's title will be added in the textview field of text box lower right, can add multiple Business Name so simultaneously.Can original list be turned back to after clicking confirming button, then click " inquiry " button above list in query region, can query function be realized;
Step 3: select intellectual search by classification: " selection " button in the query region of user clicks table single-row table top, system can eject a new window, as shown in Figure 2, click the arrow in the textview field of text box lower left, there will be lower DBMS, to the last one-level, choose check box on the right side of querying condition, then in the middle of click two textview field to right arrow button, the querying condition be then checked can be added in the textview field on right side, can add multiple Business Name so simultaneously.Can original list be turned back to after clicking confirming button, then click " inquiry " button above list in query region, can query function be realized;
Step 4: step 2 and step 3 can be carried out simultaneously, screening querying condition.
Accompanying drawing explanation
Fig. 1 is initial interface before list is inquired about.
Fig. 2 is that list querying condition selects interface.
Embodiment
Embodiment one
Use MyEclipse 8.6 as developing instrument, use special database management tools MySQL on market to set up the database required for system.Concrete mode is:
1. by the intellectual search of input key word: the key word according to text box input carries out fuzzy query;
2. select intellectual search by classification: classification is carried out to querying condition, and querying condition is listed with tree form: if first level is area; Second level is the enterprise under this area; Third level i.e. last rank is the company under this enterprise.;
3. filter out querying condition by inputting key word and carrying out selection according to rank simultaneously.
4. return list inquiry initial page: when after click " determination ", obtain all querying conditions of screening in the textview field of right side and these values passed in the text box of query region above list inquiry initial page, with each querying condition of semicolon separated.
5. perform inquiry: " inquiry " button clicking query region above list query page, perform fuzzy query operation according to multiple queries condition.
In addition to the implementation, the present invention can also have other embodiments.All employings are equal to the technical scheme of replacement or equivalent transformation formation, all drop on the protection domain of application claims.
Claims (3)
1. can simultaneously by input key word with carry out selection according to rank and combine and filter out querying condition.
2. choose multiple queries condition, then return list inquiry initial page, above list query region conditional text frame in multiple conditions with semicolon separated.
3. clicking " inquiry " button of query region above list query page, is perform fuzzy query operation according to multiple queries condition.
Priority Applications (1)
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CN201310479924.XA CN104572663A (en) | 2013-10-15 | 2013-10-15 | Realizing method for intelligently searching classifiable data based on JSP |
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CN201310479924.XA CN104572663A (en) | 2013-10-15 | 2013-10-15 | Realizing method for intelligently searching classifiable data based on JSP |
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CN104572663A true CN104572663A (en) | 2015-04-29 |
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CN201310479924.XA Pending CN104572663A (en) | 2013-10-15 | 2013-10-15 | Realizing method for intelligently searching classifiable data based on JSP |
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Cited By (2)
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---|---|---|---|---|
CN107357491A (en) * | 2017-07-14 | 2017-11-17 | 深圳易嘉恩科技有限公司 | The page interaction browsed for bill document information |
CN107862067A (en) * | 2017-11-17 | 2018-03-30 | 中国银行股份有限公司 | A kind of screening technique and device of bank loan data query |
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CN101645086A (en) * | 2009-08-28 | 2010-02-10 | 用友软件股份有限公司 | Retrieval method |
CN101950291A (en) * | 2010-07-14 | 2011-01-19 | 张康德 | Search engine method for database |
CN102081606A (en) * | 2009-12-01 | 2011-06-01 | 千乡万才科技(中国)有限公司 | Method and device for universal combined inquiry |
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2013
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Patent Citations (5)
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US7031952B1 (en) * | 1999-10-08 | 2006-04-18 | Knowledge Filter, Inc. | Knowledge filter |
CN101576914A (en) * | 2009-06-22 | 2009-11-11 | 用友软件股份有限公司 | Method and device for providing service data |
CN101645086A (en) * | 2009-08-28 | 2010-02-10 | 用友软件股份有限公司 | Retrieval method |
CN102081606A (en) * | 2009-12-01 | 2011-06-01 | 千乡万才科技(中国)有限公司 | Method and device for universal combined inquiry |
CN101950291A (en) * | 2010-07-14 | 2011-01-19 | 张康德 | Search engine method for database |
Non-Patent Citations (1)
Title |
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陶岳 等: ""关系数据库上基于元组组合的关键字查询"", 《计算机研究与发展》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107357491A (en) * | 2017-07-14 | 2017-11-17 | 深圳易嘉恩科技有限公司 | The page interaction browsed for bill document information |
CN107862067A (en) * | 2017-11-17 | 2018-03-30 | 中国银行股份有限公司 | A kind of screening technique and device of bank loan data query |
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Application publication date: 20150429 |