CN106407267A - Data classification and data retrieval method and device based on full-text retrieval - Google Patents
Data classification and data retrieval method and device based on full-text retrieval Download PDFInfo
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- CN106407267A CN106407267A CN201610727536.2A CN201610727536A CN106407267A CN 106407267 A CN106407267 A CN 106407267A CN 201610727536 A CN201610727536 A CN 201610727536A CN 106407267 A CN106407267 A CN 106407267A
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/313—Selection or weighting of terms for indexing
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
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Abstract
The invention discloses a data classification and data retrieval method and device based on full-text retrieval. The method comprises the following steps: defining each service module, associating data produced by each service module with the service module, classifying the data, adding indexes for the classified data, and then storing; when a user retrieves data, finding the corresponding data according to the index, finding the service module corresponding to the data according to the association information of the data and the service module, and then finding a processing method corresponding to a service module processing type to process the data, thereby acquiring a retrieval result. The invention further puts forward a mode of screening the retrieved data according to the user right so as to finally present the data to the user. The problem that the produced structured and non-structured data in each service module cannot be collected, classified and retrieved in unification by the enterprise in the past is solved.
Description
Technical field
The invention belongs to data storage and retrieval field, particularly to a kind of classification of data based on full-text search and data
The method and device of retrieval.
Background technology
At present, the data that enterprise produces in its each business module is divided into two kinds, and one kind is structural data, i.e. relation
Type database, such as oracle, sql server etc., one kind is unstructured data, such as txt, word, excel etc..Due to data
Having differences, it is impossible to unified structure, simultaneously as the loose coupling of each business module of enterprise is unintelligible, causes the difficult system of data
One management is it is impossible to carry out data classification and cannot full-text search.Data classification described here is the industry made by oneself according to enterprise
Business module, by the data correlation being collected in the business module defining.Described full-text search can will collect
Data enters line retrieval, and after authority crosses filter data, then present to user.
The Chinese invention patent of Application No. 201510104637 is disclosed and a kind of is divided based on the information data of digital newspaper
Class method, the structural data that this patent is only based on digital newspaper carries out data classification, how according to business event module
Structure and unstructured data carry out data classification and do not do related research.
The Chinese invention patent of Application No. 201010550776 discloses a kind of to be searched based on the Fu Fu enterprise of system coupling
Rope engine technique, the program specifically discloses a kind of collecting method, but the program is only based on unstructured data
The data acquisition of (as word, excel, ppt, pdf etc.), only can gather the filename of unstructured data, not gather non-structural
Change the particular content of data.
For this reason, providing a kind of information gathering enabling business data, data classification and the method for full-text search to have weight
The Research Significance wanted and practical value.
Content of the invention
It is an object of the present invention to overcoming shortcoming and the deficiency of prior art, provide a kind of number based on full-text search
According to classification and the method for data retrieval, solve conventional enterprise in its each business module, the structure of generation and destructuring
The problem that data can not be unified to gather, classify with retrieval.
Further object is that providing a kind of data classification of full-text search and the device of data retrieval, this dress
Put information gathering, data classification and the full-text search that can realize business data.
The purpose of the present invention is realized by following technical scheme：A kind of data classification based on full-text search and data inspection
The method of rope, comprises the following steps：Define each business module, the data that business module is produced is closed with this business module
Connection, classifies to above-mentioned data, adds index to sorted data, then stores；In user search data, according to rope
Draw and find corresponding data, according to the related information of data and business module, find the corresponding business module of data, and then find
Corresponding business module processes the processing method of class, data is processed, obtains retrieval result.
Specifically, the method comprising the steps of：
(1) data acquisition, assorting process：
(1-1) define different business modules as needed, set up business module storehouse, plan the data of each business module
Treatment mechanism, described data processor is made as the processing method that business module processes class；
(1-2) data is acquired, and data is associated with the business module in business module storehouse；
(1-3) data is carried out with structuring and destructuring classification；
(1-4) to the data interpolation data index after classification, data directory is saved in data directory storehouse, then borrows
Operated by database persistence, store data in corresponding database；
(2) data retrieval process：
(2-1) system, according to the search key of user input, scans for the data of storage, finds corresponding data
Index；Find corresponding data and extract by index；
(2-2) related information according to data and business module, finds the corresponding business module of data, according to this business mould
The data processing mechanism of block, the process of complete paired data, obtain retrieval result.
Further, methods described also includes step：
(2-3) after step (2-2) obtains retrieval result, the authority further according to user was carried out to above-mentioned retrieval result
Filter, the retrieval result after filtering the most at last is sent to user.
Preferably, the mode in described step (1-2) being associated the business module in data and business module storehouse is：
Each business module is given with a mark, the data of this business module collection adds this mark automatically.
Further, using the coding of business module as mark, using this mark as suffix and structuring, destructuring
Data is associated, and is then stored in unstructured data storehouse.
Preferably, concretely comprising the following steps to the data interpolation data index after classification in described step (1-4)：To needs
The clue field of retrieval carries out keyword extraction and word segmentation processing, and carries out priority screening and sensitive information to these keywords
Filter, then extract index, index is added to the data after classification.
Preferably, in described step (2-2), after finding the corresponding business module of data, using object-oriented development language
Reflex mechanism, find this business module corresponding data processing mechanism.
A kind of data classification based on full-text search and the device of data retrieval, including：
Predefined module, for defining different business modules as needed, sets up business module storehouse, plans each business
The data processing mechanism of module, described data processor is made as the processing method that business module processes class；
Information acquisition module, for being acquired to data, and data is carried out with the business module in business module storehouse
Association；
Data categorization module, for carrying out structuring and destructuring classification to data；
Data persistence module, for the data interpolation data index after classification, data directory being saved in data
In index database, then operate by database persistence, store data in corresponding database；Meanwhile, be additionally operable to
During the input search key of family, the data of storage is scanned for, finds the index of corresponding data, found by index corresponding
Data simultaneously extracts；
Data classification processing module, for the related information according to data and business module, finds the corresponding business of data
Module, according to the data processing mechanism of this business module, the process of complete paired data, obtains retrieval result.
Further, described device also includes：
Data permission module, for after data classification processing module obtains retrieval result, further according to the authority pair of user
Above-mentioned retrieval result is filtered, and the retrieval result after filtering the most at last is sent to user.
Preferably, in described information acquisition module, using the coding of business module as suffix and structuring, destructuring number
According to being associated, then it is stored in unstructured data storehouse.
Preferably, described data persistence module includes index searching module, and described index is found module and is used for needs
The clue field of retrieval carries out keyword extraction and word segmentation processing, and carries out priority screening and sensitive information to these keywords
Filter, then extract index.
The present invention compared with prior art, has the advantage that and beneficial effect：
1st, the business module that the present invention makes by oneself according to enterprise, by the data correlation being collected to the business module defining
In, so that structure and unstructured data is unified collection, to classify and retrieval, and the unified storage of business data, data classification
Clearly.
2nd, the present invention can gather the content of unstructured data, carries out full-text search.
3rd, the present invention passes through data permission module, and retrieval result is filtered the authority according to user it is ensured that enterprise
The security of information.
Brief description
Fig. 1 is the process schematic of the data acquisition, classification and persistence of the present embodiment；
Fig. 2 is the process schematic that the present embodiment data retrieval and authority are processed.
Specific embodiment
With reference to embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention do not limit
In this.
A kind of data classification based on full-text search of the present embodiment and the method for data retrieval, including step：Define each
Business module, the data that business module is produced is associated with this business module, and above-mentioned data is classified, after classification
Data add index, then store；In user search data, according to index search to corresponding data, according to data and industry
The related information of business module, finds the corresponding business module of data, and then finds the processing method that corresponding business module processes class,
Data is processed, obtains retrieval result.
With reference to Fig. 1,2, said method is specifically described.
Referring to Fig. 1, data acquisition, assorting process include below step：
1st, define different business modules as needed, set up business module storehouse, plan at the data of each business module
Reason mechanism.Only after clearly dividing business module, planning could be formed with to the data processor of each business module, and need
Issuable structural data and unstructured data there is certain expection to each business module.
2nd, user's newdata, is acquired to data by information acquisition module, and by data and business module storehouse
Business module is associated.
3rd, data categorization module carries out structuring and destructuring classification according to data class library to data.
4th, to the data interpolation data index after classification, index is saved in data directory storehouse, then by data
Storehouse persistence operation, stores data in corresponding database.
Referring to Fig. 2, data retrieval process includes below step：
5th, system, according to the search key of user input, carries out obscure portions to the data storing in persistence module and searches
Rope, finds the index of corresponding data.
6th, corresponding data is found by index and extract.
7th, the related information according to data and business module, finds the corresponding business module of data, finds this business module
Corresponding data processing method, the process of complete paired data, obtain preliminary search result.
8th, pass through data permission module, the authority according to user filters to preliminary search result, and finally be presented to
User.
In the present embodiment, the coding of business module is associated as suffix with structuring, unstructured data, then
It is stored in unstructured data storehouse.
Preferably, in step 4, the data interpolation data index after classification is concretely comprised the following steps：Persistence module is to needs
The clue field of retrieval carries out keyword extraction and word segmentation processing, and carries out priority screening and sensitive information to these keywords
Filter, then extract index.
A kind of data classification based on full-text search of the present embodiment and the device of data retrieval, including：
Predefined module, for defining different business modules as needed, sets up business module storehouse, plans each business
The data processing mechanism of module, described data processor is made as the processing method that business module processes class；
Information acquisition module, for being acquired to data, and data is carried out with the business module in business module storehouse
Association；
Data categorization module, for carrying out structuring and destructuring classification to data；
Data persistence module, for the data interpolation data index after classification, data directory being saved in data
In index database, then operate by database persistence, store data in corresponding database；Meanwhile, be additionally operable to
During the input search key of family, the data of storage is scanned for, finds the index of corresponding data, found by index corresponding
Data simultaneously extracts；
Data classification processing module, for the related information according to data and business module, finds the corresponding business of data
Module, according to the data processing mechanism of this business module, the process of complete paired data, obtains retrieval result；
Data permission module, for after data classification processing module obtains retrieval result, further according to the authority pair of user
Above-mentioned retrieval result is filtered, and the retrieval result after filtering the most at last is sent to user.
Below, to illustrate the method that the present embodiment data is classified with data retrieval taking hints data as a example：
In FIG, the newly-built hints data of user, hints data comprises：Clue theme, clue numbering, clue type,
Clue state, clue content, clue handler, clue time, clue satellite information, clue are related to the information such as information.
System, according to the business module of data correlation, is associated with this hints data, in gatherer process, by data
It is labeled as the data of clue business module, add in the suffix of the field needing retrieval " _ Clue ", then it is stored in mongoDB etc.
In unstructured data storehouse, that is, in Fig. 1 data persistence module actual database.
Afterwards data is classified, the data of clue business module, according to business class library, stores data into correspondence
Data persistence layer in.Period, what persistence module can be intelligent carries out keyword extraction and participle to the clue field needing retrieval
Process, and these keywords carried out with priority screening and sensitive information and filter, then preserve the index extracting, afterwards by
Database persistence operates, and stores data in corresponding database.
In fig. 2, the keyword retrieved is wanted in user's output, system according to keyword, using Enterprise search engine such as
Solr etc., carries out obscure portions search by intelligent alignment algorithm to data, finds the index of corresponding data, then is looked for by index
To corresponding data.After data extracts, according to the business module numbering of data correlation, find the corresponding place of this business module
Reason class, by the reflex mechanism of the object-oriented language such as C#, finds the processing method that corresponding business module processes class, at instantiation
Reason class configuration for executing data processing, realize the process to data with this.Finally by data permission module, according to active user
Authority, the data handled well is filtered, and finally be presented to user, thus realizing the purpose of the present invention.
Above-described embodiment is the present invention preferably embodiment, but embodiments of the present invention are not subject to above-described embodiment
Limit, other any Spirit Essences without departing from the present invention and the change made under principle, modification, replacement, combine, simplify,
All should be equivalent substitute mode, be included within protection scope of the present invention.
Claims (10)
1. a kind of data classification based on full-text search and the method for data retrieval are it is characterised in that comprise the following steps：Definition
Each business module, the data that business module is produced is associated with this business module, and above-mentioned data is classified, to point
Data after class adds index, then stores；In user search data, according to index search to corresponding data, according to data
With the related information of business module, find the corresponding business module of data, and then find the process that corresponding business module processes class
Method, is processed to data, obtains retrieval result.
2. the data classification based on full-text search according to claim 1 with the method for data retrieval it is characterised in that institute
The method of stating comprises the following steps：
(1) data acquisition, assorting process：
(1-1) define different business modules as needed, set up business module storehouse, plan the data processing of each business module
Mechanism, described data processor is made as the processing method that business module processes class；
(1-2) data is acquired, and data is associated with the business module in business module storehouse；
(1-3) data is carried out with structuring and destructuring classification；
(1-4) to the data interpolation data index after classification, data directory is saved in data directory storehouse, then by number
According to the operation of storehouse persistence, store data in corresponding database；
(2) data retrieval process：
(2-1) system, according to the search key of user input, scans for the data of storage, finds the rope of corresponding data
Draw；Find corresponding data and extract by index；
(2-2) related information according to data and business module, finds the corresponding business module of data, according to this business module
Data processing mechanism, the process of complete paired data, obtain retrieval result.
3. the data classification based on full-text search according to claim 2 with the method for data retrieval it is characterised in that institute
Method of stating also includes step：
(2-3) after step (2-2) obtains retrieval result, the authority further according to user filters to above-mentioned retrieval result,
Retrieval result after filtering at last is sent to user.
4. the data classification based on full-text search according to claim 2 with the method for data retrieval it is characterised in that institute
Stating the mode in step (1-2) being associated the business module in data and business module storehouse is：Each business module is assigned
Give a mark, the data of this business module collection adds this mark automatically.
5. the data classification based on full-text search according to claim 4 and the method for data retrieval are it is characterised in that incite somebody to action
The coding of business module, as mark, this mark is associated with structuring, unstructured data as suffix, is then stored in
In unstructured data storehouse.
6. the data classification based on full-text search according to claim 2 with the method for data retrieval it is characterised in that institute
State concretely comprising the following steps of the index finding corresponding data in step (2-1)：Carry out keyword to the clue field needing retrieval to carry
Take and word segmentation processing, and these keywords are carried out with priority screening and sensitive information filtration, then extract index；
In described step (2-2), after finding the corresponding business module of data, using the reflex mechanism of object-oriented development language,
Find this business module corresponding data processing mechanism.
7. a kind of data classification based on full-text search and the device of data retrieval are it is characterised in that include：
Predefined module, for defining different business modules as needed, sets up business module storehouse, plans each business module
Data processing mechanism, described data processor be made as business module process class processing method；
Information acquisition module, for being acquired to data, and data is associated with the business module in business module storehouse；
Data categorization module, for carrying out structuring and destructuring classification to data；
Data persistence module, for the data interpolation data index after classification, data directory being saved in data directory
In storehouse, then operate by database persistence, store data in corresponding database；Meanwhile, be additionally operable to defeated in user
When entering search key, the data of storage is scanned for, finds the index of corresponding data, corresponding data is found by index
And extract；
Data classification processing module, for the related information according to data and business module, finds the corresponding business module of data,
According to the data processing mechanism of this business module, the process of complete paired data, obtain retrieval result.
8. the data classification based on full-text search according to claim 7 with the device of data retrieval it is characterised in that institute
State device also to include：
Data permission module, for data classification processing module obtain retrieval result after, further according to user authority to above-mentioned
Retrieval result is filtered, and the retrieval result after filtering the most at last is sent to user.
9. the data classification based on full-text search according to claim 7 with the device of data retrieval it is characterised in that institute
State in information acquisition module, the coding of business module is associated with structuring, unstructured data as suffix, Ran Houcun
Enter in unstructured data storehouse.
10. the data classification based on full-text search according to claim 7 with the device of data retrieval it is characterised in that
Described data persistence module includes index and finds module, and described index is found module and is used for the clue field needing retrieval is entered
Row keyword extraction and word segmentation processing, and these keywords are carried out with priority screening and sensitive information filtration, then extract
Index.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106909647A (en) * | 2017-02-21 | 2017-06-30 | 福建榕基软件股份有限公司 | A kind of data retrieval method and device |
| CN107463631A (en) * | 2017-07-14 | 2017-12-12 | 太仓诚泽网络科技有限公司 | A kind of kernel business system method |
| CN108491499A (en) * | 2018-03-20 | 2018-09-04 | 苏州思必驰信息科技有限公司 | Collecting method, data acquisition platform, client and service server |
| CN109582849A (en) * | 2018-12-03 | 2019-04-05 | 浪潮天元通信信息系统有限公司 | A kind of Internet resources intelligent search method of knowledge based map |
| CN109670728A (en) * | 2018-12-29 | 2019-04-23 | 武昌船舶重工集团有限公司 | A kind of Ship Design quality information management system based on database |
| CN109902150A (en) * | 2019-02-25 | 2019-06-18 | 南京庚商网络信息技术有限公司 | Unstructured digital resource text searching method and system |
| WO2020057022A1 (en) * | 2018-09-18 | 2020-03-26 | 深圳壹账通智能科技有限公司 | Associative recommendation method and apparatus, computer device, and storage medium |
| CN110941640A (en) * | 2018-12-25 | 2020-03-31 | 广州中软信息技术有限公司 | Intelligent screening method, device, equipment, system and medium for problem clues |
| CN112148938A (en) * | 2020-10-16 | 2020-12-29 | 成都中科大旗软件股份有限公司 | Cross-domain heterogeneous data retrieval system and retrieval method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102096673A (en) * | 2009-12-11 | 2011-06-15 | 西软软件股份有限公司 | Full text retrieval method for structured data and unstructured data |
| CN104574141A (en) * | 2014-12-23 | 2015-04-29 | 中国移动通信集团广东有限公司 | Service influence degree analysis method |
| US20160117704A1 (en) * | 2014-10-24 | 2016-04-28 | Satheesh Kumaresan Nair | System and method for storing and retrieving objects of interest relevant to different audience profiles. |
-
2016
- 2016-08-26 CN CN201610727536.2A patent/CN106407267A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102096673A (en) * | 2009-12-11 | 2011-06-15 | 西软软件股份有限公司 | Full text retrieval method for structured data and unstructured data |
| US20160117704A1 (en) * | 2014-10-24 | 2016-04-28 | Satheesh Kumaresan Nair | System and method for storing and retrieving objects of interest relevant to different audience profiles. |
| CN104574141A (en) * | 2014-12-23 | 2015-04-29 | 中国移动通信集团广东有限公司 | Service influence degree analysis method |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106909647A (en) * | 2017-02-21 | 2017-06-30 | 福建榕基软件股份有限公司 | A kind of data retrieval method and device |
| CN106909647B (en) * | 2017-02-21 | 2020-01-03 | 福建榕基软件股份有限公司 | Data retrieval method and device |
| CN107463631A (en) * | 2017-07-14 | 2017-12-12 | 太仓诚泽网络科技有限公司 | A kind of kernel business system method |
| CN108491499A (en) * | 2018-03-20 | 2018-09-04 | 苏州思必驰信息科技有限公司 | Collecting method, data acquisition platform, client and service server |
| CN108491499B (en) * | 2018-03-20 | 2020-03-06 | 苏州思必驰信息科技有限公司 | Data acquisition method, data acquisition platform, client and business server |
| WO2020057022A1 (en) * | 2018-09-18 | 2020-03-26 | 深圳壹账通智能科技有限公司 | Associative recommendation method and apparatus, computer device, and storage medium |
| CN109582849A (en) * | 2018-12-03 | 2019-04-05 | 浪潮天元通信信息系统有限公司 | A kind of Internet resources intelligent search method of knowledge based map |
| CN110941640A (en) * | 2018-12-25 | 2020-03-31 | 广州中软信息技术有限公司 | Intelligent screening method, device, equipment, system and medium for problem clues |
| CN109670728A (en) * | 2018-12-29 | 2019-04-23 | 武昌船舶重工集团有限公司 | A kind of Ship Design quality information management system based on database |
| CN109902150A (en) * | 2019-02-25 | 2019-06-18 | 南京庚商网络信息技术有限公司 | Unstructured digital resource text searching method and system |
| CN112148938A (en) * | 2020-10-16 | 2020-12-29 | 成都中科大旗软件股份有限公司 | Cross-domain heterogeneous data retrieval system and retrieval method |
| CN112148938B (en) * | 2020-10-16 | 2023-05-26 | 成都中科大旗软件股份有限公司 | Cross-domain heterogeneous data retrieval system and retrieval method |
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Application publication date: 20170215 |