CN104915449B - A kind of facet searching system and method based on water conservancy object classification label - Google Patents
A kind of facet searching system and method based on water conservancy object classification label Download PDFInfo
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- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/48—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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Abstract
The invention discloses a kind of facet searching system and method based on water conservancy object classification label.System includes following module：Label model for carrying out classification label processing to the metadata object in water conservancy data resource metadatabase, while being managed the tag along sort in system；Module is retrieved, for carrying out retrieval and inquisition to metadata information according to the selection of the retrieval request and facet of user.The present invention is based on Water Conservancy Information Resources NetWare directory services NetWares, " label " management function is provided for it, while facet retrieval extension is carried out to its simple retrieval, requirement of the user to pertinent arts can be reduced, the problem of getting lost of user search is avoided, recall precision is improved.
Description
Technical field
The present invention relates to a kind of facet searching system and method based on water conservancy object classification label belong to intelligent information inspection
Rope field.
Background technology
The keyword that traditional Water Resources Domain information search engine concentrates data establishes index, when user is to search engine
When submitting keyword query request, search engine is retrieved in the database by way of Keywords matching, and by result
Feed back to user.This retrieval mode requires user to have higher professional domain knowledge background, the support for public users
Degree is not high；And user retrieval be intended to it is often and indefinite, user it is desirable that heuristic retrieval, system should be to user's
Retrieval guides；Key search only takes keyword match, and it is sky that search result is will appear when keyword is without matching
The case where, user experience is bad；Retrieval result is the keyword match query result all recorded in system, can not focus on use
Family field of interest, problem of information overload is serious, is easy that user is made to lose in retrieving.
Facet retrieval technique is a kind of retrieval technique on data set carrying out exploration theoretical based on facet, it has
Very strong retrieval result classification capacity, user can be concerned only with the retrieval result in interested classification, ignore other classifications
Retrieval result, so as to which problem of information overload is effectively relieved.User constantly can tie retrieval by the interaction with facet catalogue
Fruit carries out refinement or extensive, is not necessarily to priori of the user about data set, you can obtain good retrieval result, substantially reduce
Requirement of the user to pertinent arts.The navigation feature of facet retrieval simultaneously can also guide user to retrieve, effectively
Avoid the situation that retrieval result is empty.But current facet retrieval technique largely only focuses on the pass between facet and facet
System, the relationship consideration between facet value and facet is very few, and water conservancy business system user is often more to the concern of facet value, this
Cannot meet the needs of water conservancy business, therefore, there is an urgent need for a kind of facet retrievals disclosure satisfy that customer service demand in Water Resources Domain
Method.
Invention content
Goal of the invention：The problem of for existing system, the present invention propose a kind of based on water conservancy object classification label
Facet searching system and method, Water Resources Domain is introduced into through facet retrieval technique, to improve Water Conservancy Information Resources directory service
The recall precision of system.
The present invention thinking be：Using resource classification label structure tag along sort library, registration is recorded by system business personnel
The metadata resource patch for entering system tags, and safeguards resource tag library and index database；After obtaining user's inquiry request, base first
Preliminary search result set is obtained in key search, facet is recommended by frequency statistics and correlation calculations, gradually refines, obtains
To refining query results, finally retrieval result is ranked up and returns to user, improves the search efficiency of user.
Technical solution：A kind of facet searching system based on water conservancy object classification label, including following module：Label mould
Block, for carrying out classification label processing to the metadata object in water conservancy data resource metadatabase, while in system
Tag along sort is managed；Memory module, for storing water conservancy data resource metadata, tag along sort library and index information；
Module is retrieved, for carrying out retrieval and inquisition to metadata information according to the selection of the retrieval request and facet of user；
The label model, for carrying out pipe to the tag along sort index in the label and index database in tag along sort library
Reason specifically includes the management operation of the inquiry to multiclass classification label, addition, modification, deletion etc., contingency table is created to metadata
Label index, the management operation of inquiry, modification, deletion tag along sort index etc.；
The memory module, including water conservancy data resource metadatabase, tag along sort library, index database；Wherein water conservancy data
Resource metadata library is used to store the metadata information of water conservancy data resource, and metadata is the data of data, using XML file lattice
Formula stores；Tag along sort library is used to store the multiclass classification label information of water conservancy metadata object, and the tag along sort is using classification
Strategy, and include at least two-stage；Index database is for storing the index information built to metadata information and corresponding point of metadata
Class tab index information；
The retrieval module, including key search module, facet retrieves module and retrieval result sorting module；Wherein close
Key search words module, for carrying out full text keyword match, matching result in system index library according to the retrieval request of user
For PRELIMINARY RESULTS collection；Facet retrieves module, and for being refined according to the user's choice to PRELIMINARY RESULTS collection, result is that refining is tied
Fruit collects；Retrieval result sorting module, for being ranked up operation to the retrieval result in refining result set.
Further, the key search module extracts keyword input by user from the retrieval request of user, will
The keyword is matched with the index of metadata information in index database, is taken out all matched metadata informations and is tied as preliminary
Fruit collection returns to displaying；
The facet retrieves module, including facet recommendation unit and facet sequencing unit, facet recommendation unit is based on facet
Recommend principle that the facet of most worthy is recommended user, facet sequencing unit is based on the particularity of Water Resources Domain user's most phase
The retrieval result prioritization obtained is hoped to be shown to user；In the case of unselected facet, system recommendation results first are concentrated
The high facet of coverage rate, after the facet of user selects to generate, which carries out facet correlation by the facet selected based on user
Property calculate, the high facet of correlation is recommended user, obtain refining query result.
A kind of facet search method based on water conservancy object classification label, comprises the following steps：
S-1：Water conservancy object classification label is formulated according to business demand, by tag control module by water conservancy object classification mark
Sign typing tag along sort library；
S-2：Metadata to registering typing carries out pasting the operation that tags, structure tag along sort index；
S-3：User's inquiry request is obtained, and carries out word segmentation processing, metadata resource is looked into based on keyword query
It askes, obtains preliminary search result set, specifically comprise the following steps：
Step S-3-1：User's inquiry request is obtained, and carries out word segmentation processing, obtains inquiry set of words；
Step S-3-2：According to inquiry set of words, keyword query is carried out using lucene querying methods；
Step S-3-3：The highlighted return user of matched result, that is, preliminary search result set is shown；
S-4：According to the high facet of coverage rate calculation formula preferential recommendation coverage rate, user selects after facet according to facet phase
The facet that closing property calculation formula recommends correlation high, gradually refines, and obtains refining retrieval set, specifically comprises the following steps：
Step S-4-1：The PRELIMINARY RESULTS collection retrieved by step S-3 calculates the facet number in preliminary search result set；
Step S-4-2：M facet for recommending matching degree high according to matching degree of the keyword in facet；
Step S-4-3：According to facet correlation calculations formula, the degree of correlation of each facet is calculated, the m for recommending the degree of correlation high
A facet is shown；
Step S-4-4：The coverage rate of facet value is calculated separately in each facet of recommendation, the n for recommending coverage rate high
Facet value is shown；
Step S-4-5：It obtains user and selects facet retrieval request, if refining result request, that is, select some specific point
Face amount then turns to step S-4-6；If expanding result request, that is, cancels the selected of some facet value, then turn to step S-4-7；
Step S-4-6：The facet value that user selectes is obtained, according to facet value retrieval set, obtains refining result set；Turn
To step S-4-8；
Step S-4-7：The facet value that user cancels is obtained, result set is expanded according to facet value；Turn to step S-4-8；
Step S-4-8：Judge whether user is satisfied with refining result set, if so, turning to step S-4-9, otherwise, turns to step
Rapid S-4-3；
Step S-4-9：Terminate.
S-5：According to the refining that facet is retrieved, retrieval result is ranked up, retrieval result is returned into user.
In the step S-1, tag along sort uses hierarchical policy, tag along sort to be divided into K grades, and labels at different levels are stored in label
In library.
In the step S-4-2, facet correlation calculations formula is as follows：
Wherein, the data set quantity that C (B) expressions facet B is included, and C (B | A=p) it indicates in condition (A=p), i.e. user
In the case of selecting facet value p in A facets, the data set quantity that facet B is included, RABIndicate that a certain facet (facet B) exists
It is (related between the conservation rate after facet value p) namely facet B and facet A in facet A that user selectes specific facet value
Property.Conservation rate is higher to illustrate that influence of the facet value for the facet selected by user is smaller, then the facet and facet selected by user
Correlation is bigger, preferential recommendation；Conversely, conservation rate is lower to illustrate that influence of the facet value for the facet selected by user is bigger, then
The correlation of the facet and facet selected by user is smaller, does not recommend.
In the step S-4-3, the coverage rate calculation formula of facet value is as follows：
Wherein, ns(p) the metadata information sum comprising facet value p, n are indicatedsIndicate metadata information sum, f (p) generations
The coverage rate of table facet value p.
The present invention uses above-mentioned technical proposal, has the advantages that：Water conservancy object is divided using grade labelling
Class extends basic key search using facet retrieval, so that user is focused on the field of concern, solve problem of information overload,
Meanwhile using facet proposed algorithm, improving recall precision.
Description of the drawings
Fig. 1 is the facet searching system and method based on water conservancy object classification label of the embodiment of the present invention；
Fig. 2 is the flow chart of the key search of the embodiment of the present invention；
Fig. 3 is the flow chart that the facet of the embodiment of the present invention is recommended.
Specific implementation mode
With reference to specific embodiment, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate the present invention
Rather than limit the scope of the invention, after having read the present invention, various equivalences of the those skilled in the art to the present invention
The modification of form falls within the application range as defined in the appended claims.
As shown in Figure 1, the facet searching system based on water conservancy object classification label is by label model, memory module and retrieval
Module forms.
Label model includes tag control module, for the management to water conservancy object classification label；Memory module includes water
Sharp data resource metadatabase, tag along sort library, index database, water conservancy data resource metadatabase are to water conservancy business long-term practice
The description of the water conservancy data of middle accumulation is stored using XML file format, is built in index database about the data of water conservancy data
There is the index of these metadata, and is maintained；Tag along sort be according to from different dimensions to water conservancy data asset information
Classification achievement, in embodiments of the present invention use tag along sort form as shown in Table 1.Establishing basic tag along sort
Afterwards, domain engineer can also according to actual needs be managed water conservancy object classification label, including to multiclass classification label
Inquiry, addition, modification, deletion etc. management operation, tag along sort index is created to metadata, inquiry, deletes classification at modification
The management of tab indexes etc. operates.
Table 1
Module is retrieved, including key search module, facet retrieves module and retrieval result sorting module；Wherein keyword
Module is retrieved, for carrying out full text keyword match in system index library according to the retrieval request of user, matching result is first
Walk result set；Facet retrieves module, and for being refined according to the user's choice to PRELIMINARY RESULTS collection, result is refining result
Collection；Retrieval result sorting module, for being ranked up operation to the retrieval result in refining result set.
Key search module extracts keyword input by user from the retrieval request of user, by the keyword and rope
The index of metadata information drawn in library is matched, and is taken out all matched metadata informations and is returned to exhibition as PRELIMINARY RESULTS collection
Show；
Facet retrieves module, including facet recommendation unit and facet sequencing unit, facet recommendation unit is recommended based on facet
The facet of most worthy is recommended user by principle, and facet sequencing unit most it is expected user to obtain based on the particularity of Water Resources Domain
The retrieval result prioritization taken is shown to user；In the case of unselected facet, system recommendation results first concentrate covering
The high facet of rate, after the facet of user selects to generate, which carries out facet correlation meter by the facet selected based on user
It calculates, the high facet of correlation is recommended user, obtain refining query result.
Facet search method based on water conservancy object classification label is implemented as follows：
S-1：Water conservancy object classification label is formulated according to business demand, by tag control module by water conservancy object classification mark
Sign typing tag along sort library；
I.e. by the water conservancy object classification label typing tag along sort library in above-mentioned table 1.
S-2：Metadata to registering typing carries out pasting the operation that tags, structure tag along sort index；
Although in metadata including the description information to the metadata, system can extract related according to content metadata
Information, but in order to keep retrieval result more accurate carries out pasting tagged operation still needing to by the special of related field to metadata
Industry personnel operate, to metadata patch plus accurate tag along sort information.
S-3：User's inquiry request is obtained, and carries out word segmentation processing, metadata resource is looked into based on keyword query
It askes, obtains preliminary search result set, specifically comprise the following steps：
Step S-3-1：User's inquiry request is obtained, and carries out word segmentation processing；
Step S-3-2：According to inquiry set of words, keyword query is carried out using lucene querying methods；
Step S-3-3：The highlighted return user of matched result is shown；
In order to preferably handle inquiry request, we are used as Lucene (versions using string matching algorithm (BM methods)
4.7.1) the core algorithm of Chinese word segmentation, and combine basic modern Chinese dictionary 2012 editions and water conservancy industry standard SL 26-
2012《Hydraulic and hydroelectric engineering technical term》Participle is carried out to the inquiry request of user and forms inquiry set of words.It introduces《Water conservancy water
Electrical engineering technical term》It is water conservancy object data to be primarily due to data that this system is managed, specification water conservancy in the standard
Term in hydropower industry.In order to accelerate the efficiency of query processing, we build inverted index to water conservancy data resource metadata,
In order to ensure recall ratio, based on Lucene Chinese word segmentations by the way of full-text search to water conservancy data resource metadata information into
Row retrieval.
S-4：According to the high facet of coverage rate calculation formula preferential recommendation coverage rate, user selects after facet according to facet phase
The facet that closing property calculation formula recommends correlation high, gradually refines, and obtains refining retrieval set, specifically comprises the following steps：
Step S-4-1：The PRELIMINARY RESULTS collection retrieved by step S-3, the facet number that result of calculation is concentrated；
Step S-4-2：M (m >=4) a facet for recommending matching degree high according to matching degree of the keyword in facet；
Step S-4-3：According to facet correlation calculations formula, the degree of correlation of each facet is calculated, the m for recommending the degree of correlation high
(m >=4) a facet is shown；
Step S-4-4：The coverage rate of facet value is calculated separately in each facet of recommendation, the n (n for recommending coverage rate high
>=3) a facet value is shown；
Step S-4-5：It obtains user and selects facet retrieval request, if refining result request, that is, select some specific point
Face amount then turns to step S-4-6；If expanding result request, that is, cancels the selected of some facet value, then turn to step S-4-7；
Step S-4-6：The facet value that user selectes is obtained, according to facet value retrieval set, obtains refining result set；Turn
To step S-4-8；
Step S-4-7：The facet value that user cancels is obtained, result set is expanded according to facet value；Turn to step S-4-8；
Step S-4-8：Judge whether user is satisfied with refining result set, if so, turning to step S-4-9, otherwise, turns to step
Rapid S-4-3；
Step S-4-9：Terminate.
The matching degree calculation formula of keyword is：
Wherein, ns(k) the metadata information sum comprising keyword k, n are indicatedsIndicate metadata information sum.
For correlation calculations formulaIf user selectes some facet value to refine result set,
Influence of the facet selected by user for the facet is smaller, then the correlation of the facet and facet selected by user is bigger, should preferentially push away
It recommends；, whereas if user cancels some facet value to expand result set, influence of the facet value for the facet selected by user is got over
Greatly, then the correlation of the facet and facet selected by user is smaller, does not recommend, and should recommend at this time.
For system interface display effect, the facet number of recommendation should not be more than 6, we are to m in the embodiment of the present invention
6 are all set as with the value of n, on the one hand can obtain preferable display effect, on the other hand can also give user enough recommendations
Facet selects.
S-5：According to the refining that facet is retrieved, retrieval result is ranked up, retrieval result is returned into user.
In order to ensure effectiveness of retrieval, when being ranked up to retrieval result, the characteristics of according to water conservancy business, user is general
It is provided to obtain newest information and be retrieved.So we use joint domain when being ranked up to retrieval result
Sequence, keyword match degree is as first domain, and the time is as second domain.
Claims (1)
1. a kind of method for realizing the facet searching system based on water conservancy object classification label, which is characterized in that comprising such as
Lower step：
S-1：Water conservancy object classification label is formulated according to business demand, is recorded water conservancy object classification label by tag control module
Enter tag library；
S-2：Metadata to registering typing carries out pasting the operation that tags, structure tag along sort index；
S-3：User's inquiry request is obtained, and carries out word segmentation processing, metadata resource is inquired based on keyword query, is obtained
To preliminary search result set；
S-4：According to the high facet of coverage rate calculation formula preferential recommendation coverage rate, user selects after facet according to facet correlation
The facet that calculation formula recommends correlation high, gradually refines, and obtains refining retrieval set；
S-5：According to the refining that facet is retrieved, retrieval result is ranked up, retrieval result is returned into user；
Tag along sort in the step S-1 uses hierarchical policy, tag along sort to be divided into K grades, and labels at different levels are stored in tag library
In；
The step S-3 includes specifically that step is implemented as follows：
S-3-1：User's inquiry request is obtained, and carries out word segmentation processing；
S-3-2：According to inquiry set of words, keyword query is carried out using lucene querying methods；
S-3-3：The highlighted return user of matched result is shown；
The step S-4 includes specifically that step is implemented as follows：
S-4-1：The PRELIMINARY RESULTS collection retrieved by step S-3, the facet number that result of calculation is concentrated；
S-4-2：M facet for recommending matching degree high according to matching degree of the keyword in facet；
S-4-3：According to facet correlation calculations formula, the correlation of each facet is calculated, m facet for recommending correlation high is aobvious
Show；
S-4-4：The coverage rate of facet value is calculated separately in each facet of recommendation, n facet value for recommending coverage rate high is aobvious
Show；
S-4-5：It obtains user and selects facet retrieval request, if refining result request, that is, select some specific facet value, then turn
To step S-4-6；If expanding result request, that is, cancels the selected of some facet value, then turn to step S-4-7；
S-4-6：The facet value that user selectes is obtained, according to facet value retrieval set, obtains refining result set；Turn to step S-
4-8；
S-4-7：The facet value that user cancels is obtained, result set is expanded according to facet value；Turn to step S-4-8；
S-4-8：Judge whether user is satisfied with refining result set, if so, turning to step S-4-9, otherwise, turns to step S-4-3；
S-4-9：Terminate.
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| CN105808678A (en) * | 2016-03-03 | 2016-07-27 | 黄川东 | Construction method of standard retrieval and application system |
| CN106354764A (en) * | 2016-08-19 | 2017-01-25 | 上海迪塔班克数据科技有限公司 | Guided search method |
| CN106528612A (en) * | 2016-09-29 | 2017-03-22 | 河海大学 | Distributed retrieval system and method oriented to industry metadata registration |
| CN108717432B (en) * | 2018-05-11 | 2022-02-18 | 腾讯科技（深圳）有限公司 | Resource query method and device |
| CN109145110B (en) * | 2018-06-29 | 2022-06-28 | 土巴兔集团股份有限公司 | Label query method and device |
| CN109359124B (en) * | 2018-09-21 | 2022-02-15 | 郑州大学 | Construction project water resource demonstration information query and type identification system |
| CN109063215B (en) * | 2018-10-16 | 2020-10-30 | 成都四方伟业软件股份有限公司 | Data retrieval method and device |
| CN112100454A (en) * | 2020-08-17 | 2020-12-18 | 百度在线网络技术（北京）有限公司 | Searching method, searching device, electronic equipment and readable storage medium |
| CN114443728B (en) * | 2022-01-04 | 2022-11-15 | 广州粤建三和软件股份有限公司 | Detection report searching method and device based on Elasticissearch |
| CN117076391B (en) * | 2023-10-12 | 2024-03-22 | 长江勘测规划设计研究有限责任公司 | Water conservancy metadata management system |
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