CN105447616A - Knowledge management system based on multidimensional classification and full-text retrieval - Google Patents
Knowledge management system based on multidimensional classification and full-text retrieval Download PDFInfo
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- CN105447616A CN105447616A CN201510679012.6A CN201510679012A CN105447616A CN 105447616 A CN105447616 A CN 105447616A CN 201510679012 A CN201510679012 A CN 201510679012A CN 105447616 A CN105447616 A CN 105447616A
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Abstract
The invention relates to a knowledge management system in the computer and business management field, particularly to a knowledge management system based on multidimensional classification and full-text retrieval. When a knowledge entry is uploaded, a user assisted by a computer system establishes an ownership between a knowledge entry and multidimensional classification; and the computer establishes knowledge entry full-text retrieval according to a word segmentation rule. When a user retrieves the knowledge, a retrieval condition of combination of crossed processing of multi-dimension classification and key word inputting is selected as a retrieval condition. The invention aims at providing a knowledge retrieval technology based on combination of multidimensional classification and full-text retrieval, thereby solving problems of low knowledge retrieval searching rate and recall ratio due to single knowledge classification dimension and wide retrieval range in the prior art. With the system, the knowledge discovery and excavation capability can be substantially improved.
Description
Technical field
The present invention relates to a kind of Knowledge Management System in computing machine and business administration field, specifically, relate to and a kind ofly to classify the Knowledge Management System combined with full-text search based on multidimensional.
Background technology
Along with the arrival of era of knowledge-driven economy, intelligence and the knowledge of tissue to the assurance of chance, is more and more depended in competition in enterprise.How the intelligence of effective management organization and Knowledge Assets, be enterprise's creation of value, just progressively by each enterprise is paid attention to.
Knowledge Management System supports enterprise carries out effectively management IT instrument to Knowledge Assets.The discovery of knowledge and excavation are the keys in whole knowledge management processes, directly affect the effect of information management.Therefore, the knowledge retrieval technology supporting Knowledge Discovery and excavation also becomes the core of Knowledge Management System.Existing knowledge retrieval technology, has following three classes usually:
A. single classified browse
First the taxonomic hierarchies of a level/tree construction is set up.Then knowledge is grouped in corresponding class node.Last when searching knowledge, carry out filtering query by knowledge classification.
B. key word full-text search
Evolve to the fuzzy search of the unstructured datas such as super large text, voice, image, activity video, can support that arbitrary word, word, sentence and fragment are retrieved from initial string matching routines; Support retrieval operational symbol and comprise the retrieval modes such as combined retrieval, location retrieval, Step-up retrieval; Support based on the intelligent retrieval of Chinese language and Chinese Document Clustering and autoabstract.
Realize full-text search to need through several process: 1, knowledge content changes into text data; 2, participle is carried out to text data, set up full-text index; 3, according to key search full-text index storehouse.
C. structured data query
An actualizing technology of structured data query is exactly take SQL as the relational data library inquiry of query language.The precondition that this technology is applied in knowledge query is: knowledge must be structured storage.
The above each have their own relative merits of knowledge retrieval technology:
Summary of the invention
The present invention, by adopting various dimensions disaggregated model, improves the coverage rate of classification, meets the systematic searching of different angles classification demand.Adopt multidimensional classification and the retrieval technique that combines of full-text search, make the precision ratio of knowledge retrieval and recall ratio obtain a best equilibrium point.
Each core component relation of the search engine of Knowledge Management System as shown in Figure 1, comprises following content:
A. knowledge maintenance
Knowledge maintenance assembly provides user manually to upload knowledge, download knowledge, the module of refreshing one's knowledge, and is also interface that Third party system provides knowledge to upload, upgrades.
B. various dimensions classification
Classify to knowledge from different perspectives for meeting user, system provides various dimensions classification component, for different users sets up taxonomic hierarchies from different perspectives.Be levels aggregated(particle) structure between classification entity, the taxonomic hierarchies of a dimension is exactly one tree.When safeguarding classified information, can define system automatic classification time required key word.The signal of multidimensional disaggregated model as shown in Figure 2.
C. knowledge classification
After establishing knowledge classification system, user can carry out manual sort to the knowledge uploaded, and namely sets up the classification relation between classification and knowledge body.System also provides carries out automatic clustering according to the key word of classification, and search the matching degree of sorting key word between knowledge body, if matching degree is high, so system sets up classification relation automatically.In knowledge classification process, system sets up index automatically, and these index datas are stored in knowledge index storehouse.
D. knowledge retrieval
Knowledge retrieval assembly is the key assembly of Knowledge Management System, it provides the retrieval of classified browse, key word full-text search connected applications together with the above two.Classification and key word full-text search set refer to when applying:
A) when carrying out classified browse, in the result for retrieval can browsed at current class, key word full-text search is carried out;
B) when carrying out key word full-text search, classified browse can be carried out in current result for retrieval.
The application process of the Knowledge Management System in the present invention as shown in Figure 3, specifically comprises following several stages:
A. multidimensional classification is set up
Defining classification dimension and categorised content, and represent the categorised content under dimension with tree-structure mode.
B. knowledge content is uploaded
Manually upload knowledge and by system automatically from other system acquisition knowledge content.
C. knowledge is classified
Artificial knowledge to be classified and system carries out automatic classification according to key word.
D. full-text index is set up
System carries out participle to the text message of knowledge content, and positions storage to word segmentation result.
E. retrieval knowledge
Classified browse and key word full-text search are carried out to knowledge.
Accompanying drawing explanation
Fig. 1: the search engine system assumption diagram of Knowledge Management System
Fig. 2: multidimensional disaggregated model schematic diagram
Fig. 3: the application process figure of Knowledge Management System
Fig. 4: the interface of multidimensional classification and key word full-text search application function
Embodiment
The technological means realized for making the present invention, creation characteristic, reaching object and effect is easy to understand, below in conjunction with embodiment, illustrating the present invention further.This paper for example, introduces multidimensional classification and full-text search with the Knowledge Management System of domestic a certain IT software supplier.
A. multidimensional taxonomic hierarchies content
Around company management strategy, from crucial process of operation such as the marketing, research and development of products, the project implementation, inner managements.Establish the knowledge classification of the dimensions such as project management, product information, division management, tool technique, study growth, rules and regulations, knowledge monograph, industry sources.
B. the application of multidimensional classification and key word full-text search
With reference to the interface of multidimensional classification with key word full-text search application function, i.e. Fig. 4.
Claims (2)
1. multidimensional disaggregated model: the classification that can define different multidimensional, and the classification relation setting up that knowledge body and various dimensions classify, under namely a knowledge body can belong to the classification of multiple dimension.
2. the mechanism that combines with key word full-text search of multidimensional classified browse, fully balances recall ratio and the precision ratio of retrieval.
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| CN201510679012.6A CN105447616A (en) | 2015-05-22 | 2015-10-16 | Knowledge management system based on multidimensional classification and full-text retrieval |
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| CN201510679012.6A CN105447616A (en) | 2015-05-22 | 2015-10-16 | Knowledge management system based on multidimensional classification and full-text retrieval |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109558557A (en) * | 2018-11-23 | 2019-04-02 | 京华信息科技股份有限公司 | A kind of mobile modeling method, device and storage medium based on image recognition |
| CN110069604A (en) * | 2019-04-23 | 2019-07-30 | 北京字节跳动网络技术有限公司 | Text search method, apparatus and computer readable storage medium |
| CN111177306A (en) * | 2020-01-02 | 2020-05-19 | 中国银行股份有限公司 | Data processing method and device |
| CN112612845A (en) * | 2020-12-22 | 2021-04-06 | 中国建设银行股份有限公司 | Method and device for realizing organization mechanism view, electronic equipment and readable storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521223A (en) * | 2011-09-02 | 2012-06-27 | 天津市道本科技有限公司 | Three-word-in-one enterprise knowledge associative storing, searching and presenting method |
| CN103914488A (en) * | 2013-01-08 | 2014-07-09 | 邓寅生 | Document collection, identification, association, search and display system |
-
2015
- 2015-10-16 CN CN201510679012.6A patent/CN105447616A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521223A (en) * | 2011-09-02 | 2012-06-27 | 天津市道本科技有限公司 | Three-word-in-one enterprise knowledge associative storing, searching and presenting method |
| CN103914488A (en) * | 2013-01-08 | 2014-07-09 | 邓寅生 | Document collection, identification, association, search and display system |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109558557A (en) * | 2018-11-23 | 2019-04-02 | 京华信息科技股份有限公司 | A kind of mobile modeling method, device and storage medium based on image recognition |
| CN110069604A (en) * | 2019-04-23 | 2019-07-30 | 北京字节跳动网络技术有限公司 | Text search method, apparatus and computer readable storage medium |
| CN110069604B (en) * | 2019-04-23 | 2022-04-08 | 北京字节跳动网络技术有限公司 | Text search method, text search device and computer-readable storage medium |
| CN111177306A (en) * | 2020-01-02 | 2020-05-19 | 中国银行股份有限公司 | Data processing method and device |
| CN111177306B (en) * | 2020-01-02 | 2023-09-26 | 中国银行股份有限公司 | Data processing method and device |
| CN112612845A (en) * | 2020-12-22 | 2021-04-06 | 中国建设银行股份有限公司 | Method and device for realizing organization mechanism view, electronic equipment and readable storage medium |
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Application publication date: 20160330 |
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