CN109739949A - Localisation database fraction limits text retrieval system and method - Google Patents
Localisation database fraction limits text retrieval system and method Download PDFInfo
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- CN109739949A CN109739949A CN201811348316.4A CN201811348316A CN109739949A CN 109739949 A CN109739949 A CN 109739949A CN 201811348316 A CN201811348316 A CN 201811348316A CN 109739949 A CN109739949 A CN 109739949A
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- 230000004807 localization Effects 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims description 15
- 230000008676 import Effects 0.000 claims abstract description 15
- 230000001105 regulatory effect Effects 0.000 claims abstract description 8
- 238000001914 filtration Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 abstract description 3
- 241001269238 Data Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Abstract
Present invention discloses localisation database fractions to limit text retrieval system, establishes localisation database system and full-text search module；Have distributed storage module and authority management module, distributed storage module includes several File Pools, public area and personal area corresponding with user terminal are equipped in any library pond, authority management module is for setting user terminal to the access authority of public area, mail library, online working software library, cloud disk library are equipped in personal area, user terminal has the self-regulated module that arbitrary system type matching is imported to personal area.The present invention uses localisation database and establishes the personal air for individual consumer end, and combines the permission match of full-text search module, meets the private demand and public exchange demand of user.The library for being able to satisfy different system types imports and subchannel storage, improves the inquiry environment of user, improves the recall precision of localization.Overall architecture is clear, is easy to enterprise-level database optimization, is suitable for popularization and application.
Description
Technical field
The present invention relates to localisation database fraction limit text retrieval system and methods, belong to the skill of localization document searching
Art field.
Background technique
There can be a large amount of document in office process, these documents are divided into localization, in mail, office software
, in cloud disk, when being consulted, search for needing artificial subsystem, it is very inconvenient.
In addition, there are a large amount of need for confidentiality file, not applicable third party cloud are acted on behalf of for enterprise, there are files to lose,
The problems such as security risk.
The localisation database of enterprise-level also cannot achieve the carrying of multisystem library and search function at present, also and be not present
Personal privacy space.
This case is based on problem above and carries out research and framework.
Summary of the invention
Present invention aim to address above-mentioned the deficiencies in the prior art, traditional localization database there are aiming at the problem that,
It is proposed localisation database fraction limit text retrieval system and method.
In order to achieve the above object, the technical scheme adopted by the invention is as follows: localisation database fraction limit full-text search
System,
Establish localisation database system and the full-text search module for the localisation database default；
The localisation database system has distributed storage module and the rights management mould for the open permission of user terminal
Block, the distributed storage module include several File Pools, and public area and personal area are equipped in any library pond,
The authority management module for setting any user terminal to the access authority of public area,
Any user terminal has one-to-one personal area, is equipped in the individual area and is drawn according to library source systems type
Point mail library, online working software library, cloud disk library, the user terminal, which has, imports the individual for arbitrary system type matching
The self-regulated module in area.
Preferably, the full-text search module has the arbitrary number of level authority setting for localisation database system.
Preferably, the full-text search module is elasticsearch server.
The invention also provides the search methods of localisation database fraction limit text retrieval system, comprising the following steps:
S1 assigns user terminal permission, carries out the personal permission match in area and the permission match of public area to user terminal；
S2 File Pool data import, and local library is freely imported public area or personal area by user terminal, by self-regulated module to a
People area imports mail library, online working software library, cloud disk library；
The retrieval of S3 full-text search module, any user terminal are retrieved by full-text search module, and retrieval input keyword, keyword is extremely
It less include partial document content；
S4 retrieves content, and full-text search module only retrieves matching keywords and matches the content of user terminal permission.
Preferably, the step S2 also carries out attribute record to document source, and attribute record includes that file format, file are led
The angle of incidence, system type,
The step S3 further includes screening traction, is retrieved by file format, file importing time, system type, sequence
Conditional filtering.
Preferably, the file format includes at least DOC, PPT, TXT, PDF, XLS.
The beneficial effects are mainly reflected as follows:
1. using localisation database and establishing the personal air for individual consumer end, and combine full-text search module
Permission match meets the private demand and public exchange demand of user.
2. the library for being able to satisfy different system types imports and subchannel storage, the inquiry environment of user is improved, is improved
The recall precision of localization.
3. overall architecture is clear, it is easy to enterprise-level database optimization, is suitable for popularization and application.
Specific embodiment
The present invention provides localisation database fraction limit text retrieval system and method.Below to technical solution of the present invention into
Row detailed description, so that it is more readily understood and grasps.
Localisation database fraction limits text retrieval system, establishes localisation database system and for localisation database
The full-text search module of default.And it is able to achieve by full-text search module to some or all of localisation database system
Search function.
Localisation database system has distributed storage module and the rights management mould for the open permission of user terminal
Block, distributed storage module include several File Pools, and public area and personal area are equipped in any library pond.
The independent personal area for user is set in the pond of library.
For setting any user terminal to the access authority of public area, authority management module is used only for authority management module
The permission access in open area is carried out to user terminal, therefore personal area obtains safety guarantee.
Any user terminal has one-to-one personal area, is equipped in personal area according to library source systems Type division
Mail library, online working software library, cloud disk library, user terminal have by arbitrary system type matching import personal area from mode transfer
Block.
It is imported by the library that self-regulated module is able to achieve arbitrary system type, is respectively by outer net by the foundation of self-regulated module
Library imports the channel in personal area in type of uniting, and realizes that subsystem type mark formula imports.The refinement when carry out method describes.
Full-text search module has the arbitrary number of level authority setting for localisation database system.I.e. any user terminal only needle
Full-text search is carried out to the file within the scope of own right.
In preferred embodiment, full-text search module uses elasticsearch server.ElasticSearch is one
Search server based on Lucene.It provides the full-text search engine of a distributed multi-user ability, is based on
RESTful web interface.Elasticsearch is developed with Java, and as the open source code under Apache license terms
Publication is Enterprise search engine currently popular.It is stable designed for real-time search in cloud computing, can be reached, reliably,
Quickly, easy to install and use.
The search method of localisation database fraction limit text retrieval system is described in detail comprising following step
Rapid: S1 assigns user terminal permission, carries out the personal permission match in area and the permission match of public area to user terminal.
Specifically, any user terminal has corresponding personal area's permission and corresponding public area permission, and public area does not limit one
It is a, it can be any selection of public area, can be one, multiple or whole.
S2 File Pool data import, and local library is freely imported public area or personal area by user terminal, pass through self-regulated module
Mail library, online working software library, cloud disk library are imported to personal area.
Entire database is enriched by user terminal, public documents can be conveyed to public area by user terminal, for whole users
It carries out retrieval and obtains information, be easy to enterprises exchange, and personal area is used as personal private file and saves, for oneself progress
It consults, and all localization datas, it is not easy to lose.
The retrieval of S3 full-text search module, any user terminal are retrieved by full-text search module, retrieval input keyword, crucial
Word includes at least partial document content.
It is retrieved by the way of full-text search, it is convenient and efficient.
S4 retrieves content, and full-text search module only retrieves matching keywords and matches the content of user terminal permission.
Only for the File Pool public area in each user terminal extent of competence and individual Qu Jinhang retrieval is corresponded to, is not in more
Power and privacy are divulged a secret.
In preferred embodiment, step S2 also carries out attribute record to document source, and attribute record includes file format, file
Import time, system type.
Step S3 further includes screening traction, is retrieved by file format, file importing time, system type, sequence
Conditional filtering.
Specifically, when file imports File Pool, that is, it is labelled with the attribute for importing file, improves recall precision.
The tray of general enterprises internal circulation includes DOC, PPT, TXT, PDF, XLS.
By above description it can be found that localisation database fraction of the present invention limit text retrieval system and method, use
Localisation database simultaneously establishes personal air for individual consumer end, and combines the permission match of full-text search module,
Meet the private demand and public exchange demand of user.The library for being able to satisfy different system types imports and subchannel is deposited
Storage, improves the inquiry environment of user, improves the recall precision of localization.Overall architecture is clear, is easy to enterprise-level database
Optimization, is suitable for popularization and application.
Technical solution of the present invention is fully described above, it should be noted that specific embodiment party of the invention
Formula is simultaneously not limited by the description set out above, the Spirit Essence of those skilled in the art according to the present invention structure, method or
All technical solutions that function etc. is formed using equivalents or equivalent transformation, all fall within protection scope of the present invention
Within.
Claims (6)
1. localisation database fraction limits text retrieval system, it is characterised in that:
Establish localisation database system and the full-text search module for the localisation database default；
The localisation database system has distributed storage module and the rights management mould for the open permission of user terminal
Block, the distributed storage module include several File Pools, and public area and personal area are equipped in any library pond,
The authority management module for setting any user terminal to the access authority of public area,
Any user terminal has one-to-one personal area, is equipped in the individual area and is drawn according to library source systems type
Point mail library, online working software library, cloud disk library, the user terminal, which has, imports the individual for arbitrary system type matching
The self-regulated module in area.
2. localisation database fraction limits text retrieval system according to claim 1, it is characterised in that: the full-text search
Module has the arbitrary number of level authority setting for localisation database system.
3. localisation database fraction limits text retrieval system according to claim 2, it is characterised in that: the full-text search
Module is elasticsearch server.
4. based on the search method of the limit text retrieval system of localisation database fraction described in claim 1 ~ 3 any one,
Be characterized in that the following steps are included:
S1 assigns user terminal permission, carries out the personal permission match in area and the permission match of public area to user terminal；
S2 File Pool data import, and local library is freely imported public area or personal area by user terminal, by self-regulated module to a
People area imports mail library, online working software library, cloud disk library；
The retrieval of S3 full-text search module, any user terminal are retrieved by full-text search module, and retrieval input keyword, keyword is extremely
It less include partial document content；
S4 retrieves content, and full-text search module only retrieves matching keywords and matches the content of user terminal permission.
5. the search method of localisation database fraction limit text retrieval system according to claim 4, it is characterised in that:
The step S2 also carries out attribute record to document source, and attribute record includes file format, file importing time, system
Type,
The step S3 further includes screening traction, is retrieved by file format, file importing time, system type, sequence
Conditional filtering.
6. the search method of localisation database fraction limit text retrieval system according to claim 4, it is characterised in that: institute
File format is stated including at least DOC, PPT, TXT, PDF, XLS.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2021208527A1 (en) * | 2020-04-16 | 2021-10-21 | 陶光毅 | Database distributed storage system and method based on optical disk |
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| CN104239812A (en) * | 2014-08-25 | 2014-12-24 | 福建伊时代信息科技股份有限公司 | Local area network data safety protection method and system |
| CN104361066A (en) * | 2014-11-04 | 2015-02-18 | 福建亿榕信息技术有限公司 | Unstructured full-text retrieval system based on authorities |
| CN107368588A (en) * | 2017-07-24 | 2017-11-21 | 人教数字出版有限公司 | A kind of heterogeneous resource Homogeneous method and device |
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2018
- 2018-11-13 CN CN201811348316.4A patent/CN109739949A/en active Pending
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|---|---|---|---|---|
| CN102843363A (en) * | 2012-08-09 | 2012-12-26 | 鸿富锦精密工业（深圳）有限公司 | Network data secure storage system and method |
| CN104239812A (en) * | 2014-08-25 | 2014-12-24 | 福建伊时代信息科技股份有限公司 | Local area network data safety protection method and system |
| CN104361066A (en) * | 2014-11-04 | 2015-02-18 | 福建亿榕信息技术有限公司 | Unstructured full-text retrieval system based on authorities |
| CN107368588A (en) * | 2017-07-24 | 2017-11-21 | 人教数字出版有限公司 | A kind of heterogeneous resource Homogeneous method and device |
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| WO2021208527A1 (en) * | 2020-04-16 | 2021-10-21 | 陶光毅 | Database distributed storage system and method based on optical disk |
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Application publication date: 20190510 |