KR20160120583A - Knowledge Management System and method for data management based on knowledge structure - Google Patents

Knowledge Management System and method for data management based on knowledge structure Download PDF

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Publication number
KR20160120583A
KR20160120583A KR1020150049834A KR20150049834A KR20160120583A KR 20160120583 A KR20160120583 A KR 20160120583A KR 1020150049834 A KR1020150049834 A KR 1020150049834A KR 20150049834 A KR20150049834 A KR 20150049834A KR 20160120583 A KR20160120583 A KR 20160120583A
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South Korea
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data
knowledge
tag
knowledge nodes
nodes
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KR1020150049834A
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Korean (ko)
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오창헌
최대우
김주상
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주식회사 노스트
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Publication of KR20160120583A publication Critical patent/KR20160120583A/en

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    • G06F17/30386—
    • G06F17/30312—
    • G06F17/30705—
    • G06F17/30734—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management

Abstract

The present invention relates to a knowledge management system and a knowledge structure based data managing method thereof capable of enabling users to acquire varied and accurate searching results with one search, by registering data and performing searches, with simultaneous use of tag information and a classification system. The knowledge structure based data managing method comprises: a data registering step of mapping at least one piece of data on each piece of meta data, corresponding to each data section of register targeted data, registering a plurality of knowledge nodes after categorizing the meta data with the tag as the standard, and setting connection relationships between the knowledge nodes after understanding the relations between the knowledge nodes as a tag unit; and a data searching step of acquiring the tags and categorization system, corresponding to sentences for searches, after the sentences are inputted by users, and searching and guiding relevant knowledge nodes based on the tags and categorization system.

Description

[0001] The present invention relates to a knowledge management system and a knowledge management system based on the knowledge structure,

The present invention relates to a knowledge management system, and more particularly, to a data registration method and a search method for maximizing search efficiency.

In general, knowledge management is defined as a process of defining the output of a knowledge activity through the analysis and interview process of a person with expertise and know-how of a specific domain, It is a process that improves the efficiency of work by effectively collecting and extracting and sharing easily among the people concerned.

A computer system that supports a series of knowledge management is called a knowledge management system. Currently, the "knowledge management system" is the hot issue in the information technology field, and the enterprise that has developed the existing systems such as the information retrieval system, electronic document management system and groupware is currently developing and researching the knowledge management system .

The conventional knowledge management system integrates various database-based resources into various classification systems in various fields in order to organize various information into various kinds of knowledge, and then, using an ontology classification scheme, It is also possible to efficiently classify categories and to provide meaningful resource search results by mapping them according to the degree of association.

This method is very useful for a knowledge management system which is used for a large number of public, but it is inadequate for a small group which is characterized by deeply studying a specific subject by the limit of using only one search condition called a classification system. That is, the search result based on the classification system has a disadvantage that it is too wide or too much noise for a small group to use.

In addition, although the user can simultaneously use specific information through a plurality of classification schemes, it is impossible to collectively search information that is simultaneously used through various classification schemes when the information search is performed based on the classification scheme as described above There are disadvantages. Therefore, there is a problem that the user has to repeatedly search for desired information if the classification system is modified.

(Department of Computer Engineering, Ajou University), Seokwon Lee (Department of Software Convergence, Ajou University) / Journal of intelligence and information systems / v.19 no.3, 2013, pp. 25-44)

In order to solve the above problems, the present invention provides a knowledge management system for performing registration and search of data using tag information and a classification scheme at the same time, thereby obtaining various and accurate search results through one search, And a knowledge management method based on the knowledge structure.

The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a knowledge management system for a knowledge management system, the knowledge management system comprising: a plurality of data management units At least one tag is mapped to each of the meta data, and the plurality of meta data is classified based on the tag to register a plurality of knowledge nodes. Then, Data registration step; And a data retrieving step of retrieving and providing the related knowledge node based on the tag and the classification scheme after acquiring the tag and the classification scheme corresponding to the search sentence when the search sentence is inputted from the user.

The data registration step may include classifying the data into a plurality of data sections and generating a plurality of metadata corresponding to each of the plurality of data sections; Receiving a tag corresponding to each of the plurality of metadata from a user and mapping the tag to each of the plurality of metadata; Classifying the plurality of metadata according to the tag and registering knowledge nodes corresponding to the plurality of metadata; And analyzing the association between the plurality of knowledge nodes on a tag-by-tag basis and establishing a connection relationship.

The step of establishing the connection relationship is characterized in that the metadata corresponding to each knowledge node is analyzed based on a taxonomy algorithm, a thaurus algorithm, and a vocabulary dictionary.

The data retrieving step may include: obtaining a tag and a classification scheme corresponding to the search sentence; Selecting knowledge nodes related to the search sentence based on the obtained tag and classification scheme; Calculating associations of the selected knowledge nodes with the search sentence, and sequentially informing the selected knowledge nodes to users in descending order of association.

As a means for solving the above problems, a knowledge management system according to another embodiment of the present invention maps at least one tag to each of a plurality of metadata corresponding to each of a plurality of data sections of a registration object data, A data registration unit for registering a plurality of knowledge nodes by classifying the plurality of meta data on the basis of the plurality of meta data, And a data retrieval unit for retrieving a tag and a classification scheme corresponding to the retrieval sentence when the retrieval sentence is inputted from the user and then searching and guiding the related knowledge node based on the tag and the classification scheme.

The present invention can classify a knowledge node into multiple categories by utilizing a tag that can be set by each user in addition to a classification system generally used in an existing knowledge structure and search for knowledge nodes based on the classification, And the diversity and accuracy of the available data can be improved.

1 is a view for explaining a data management method based on a knowledge structure according to an embodiment of the present invention.
FIG. 2 is a view for explaining a data registration method based on a knowledge structure according to an embodiment of the present invention.
3 is a diagram illustrating an example of a tag input window according to an embodiment of the present invention.
FIG. 4 is a diagram for explaining a data structure based on a knowledge structure according to an embodiment of the present invention. Referring to FIG.
5 is a view for explaining a data management system based on a knowledge structure according to an embodiment of the present invention.
6 is a diagram illustrating an example of a database according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features and advantages of the present invention will be more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which: FIG. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

The following terms are defined in consideration of the functions of the present invention, and these may be changed according to the intention of the user, the operator, or the like.

The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art to which the present invention pertains. Only. Therefore, the definition should be based on the contents throughout this specification.

1 is a view for explaining a data management method based on a knowledge structure according to an embodiment of the present invention.

Referring to FIG. 1, the data management method of the present invention includes mapping at least one tag to each of a plurality of metadata corresponding to each of a plurality of data sections of a registration object data, and classifying a plurality of metadata (S10) for registering a plurality of knowledge nodes, determining association between knowledge nodes in a tag unit and establishing a connection relationship between knowledge nodes, and a data registration step (S10) for inputting search information for searching for necessary information from the user. And a data retrieving step (S20) of retrieving and guiding related knowledge nodes based on the obtained tags and classification schemes.

Hereinafter, a data management method based on a knowledge structure according to an embodiment of the present invention will be described in detail with reference to FIG. 2 to FIG.

FIG. 2 is a view for explaining a data registration method based on a knowledge structure according to an embodiment of the present invention.

First, when data such as a technical document and a report are registered (S11), the corresponding data is classified into a plurality of data sections, and metadata corresponding to each of the plurality of data sections is generated (S12).

At this time, the data section sorting operation may be performed automatically based on a table of contents, a quantity, or the like, or may be performed in a manner that the user classifies each data section. The metadata may include a position of a data section, a main word of a data section, and the main term of a data section may be a word (noun) extracted from a text included in a data section, Extracting the extracted keywords, and indexing the extracted keywords. It goes without saying that if there is a method of generating metadata including meaningful keywords from text other than the above method, it may also be available.

Then, the tag information corresponding to each of the plurality of metadata is directly input from the user, and the tag information is mapped to each of the plurality of metadata (S13). For example, when a user selects one of a plurality of data sections and / or metadata and requests a tag input, a tag input window as shown in FIG. 3 is provided so that a user can directly input a tag. At this time, a plurality of tags can be simultaneously mapped to one metadata. In addition, a list of the previously inputted tags is provided by a user through a partial area of the tag input window, thereby allowing the user to input the tag more easily.

If all of the tags are mapped to the plurality of metadata, a plurality of metadata are classified according to the tags to generate knowledge nodes corresponding to the plurality of data sections (S14).

Then, the association between knowledge nodes is calculated on a tag-by-tag basis based on metadata (S15). In the present invention, the metadata corresponding to each knowledge node can be analyzed based on a taxonomy algorithm, a thaurus algorithm, and a vocabulary dictionary. At this time, the classification system, The semantic structure used in the thesaurus algorithm, and the lexical dictionary, can be predefined and changed by the system administrator.

In step S16, the inter-knowledge-node connection relationship is set in units of tags according to the inter-knowledge node associations calculated in step S15. The connection relationships between knowledge nodes in the same tag formed through step S16 may have various connection structures such as a tree, a graph, and a network structure.

FIG. 4 is a diagram for explaining a data structure based on a knowledge structure according to an embodiment of the present invention. Referring to FIG.

When a user requests a knowledge node-based data search, a search window is provided so that a user can input a search sentence for searching for a necessary data (S21). In particular, in the present invention, a search sentence can be input in the form of an interactive description such as " Who cares about a carnivore ", so that a user does not have to write a search term according to a professional term or a standardized format.

In step S22, the main keyword is extracted from the search sentence input through step S21, and the tags and classification schemes having the highest correlation with the search sentence are obtained by comparing the analyzed keywords with a plurality of previously registered tags and a classification scheme.

Then, the related knowledge nodes are selected in the search sentence based on the tag and classification scheme obtained in step S22 (S23).

After associating the selected knowledge nodes with the search sentence through the step S23, the selected knowledge nodes are rearranged in order of relevance, and are sequentially informed to the user (S24). At this time, the user guide information may include information related to the metadata related to the knowledge node (for example, the position of the data section, the keyword of the data section), the classification scheme, the association with the search text, and the like. In addition, the user moves a cursor to a screen area where information related to a specific knowledge node is displayed and then clicks or clicks a detailed view button or the like formed on a screen area displaying information related to the specific knowledge node, So that it can be displayed on the screen.

5 is a view for explaining a data management system based on a knowledge structure according to an embodiment of the present invention.

5, the data management system of the present invention maps at least one tag to each of a plurality of meta data corresponding to each of a plurality of data sections of the registration target data, and stores the plurality of meta data on the basis of the tag A data registration unit 10 for registering a plurality of knowledge nodes by classifying and then determining the association between knowledge nodes in a tag unit and establishing a connection relationship between knowledge nodes, and categorizing and storing data related to knowledge nodes registered in the data registration unit A database 20, a data search unit 30 for acquiring a tag and a classification scheme corresponding to a search sentence when a search sentence is input from a user, and then searching and guiding related knowledge nodes based on the tag and the classification scheme .

The data registration unit 10 includes a data registration unit 11 for verifying the new data when the new data is registered and sorting the data in the data into a plurality of data sections, a metadata generating unit 12 for generating a plurality of metadata corresponding to each of the plurality of data sections, A tag setting unit 13 for receiving a tag corresponding to each of a plurality of meta data from a user and mapping the tag to each of a plurality of meta data, And a knowledge node generating unit 14 for analyzing the association between the plurality of knowledge nodes on a tag-by-tag basis and establishing a connection relationship.

As shown in FIG. 6, the database 20 includes a tag-specific database, and each database may include tag information, knowledge nodes, association with other nodes, data section information, etc. for each of the metadata have.

When a search sentence is input from a user, the data search unit 30 compares the major keywords included in the search sentence with a plurality of tags and classification schemes, and searches for a tag having the highest correlation with the search sentence and a classification scheme A knowledge node searching unit 32 and a knowledge node searching unit 32 for searching and selecting knowledge nodes related to a search sentence based on the tags and classification schemes acquired through the search sentence analyzing unit 31, A knowledge node informing unit 33 for sequentially associating the selected knowledge nodes with the search statements, and sequentially guiding the knowledge nodes selected in descending order of association to the user, and the like .

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

Claims (5)

Knowledge management system based on knowledge structure registration and retrieval method
The knowledge management system
At least one tag is mapped to each of a plurality of meta data corresponding to each of a plurality of data sections of a registration target data, and a plurality of knowledge nodes are registered by classifying the plurality of meta data on the basis of the tag, A data registration step of determining the association between knowledge nodes and establishing a connection relationship between knowledge nodes; And
And a data retrieval step of retrieving and guiding related knowledge nodes based on the tag and classification scheme after acquiring a tag and a classification scheme corresponding to the retrieval sentence when a search sentence is input from a user, And search method. The method of claim 1, wherein the step
Classifying the data into a plurality of data sections and generating a plurality of metadata corresponding to each of the plurality of data sections;
Receiving a tag corresponding to each of the plurality of metadata from a user and mapping the tag to each of the plurality of metadata;
Classifying the plurality of metadata according to the tag and registering knowledge nodes corresponding to the plurality of metadata; And
And analyzing associations among the plurality of knowledge nodes on a tag-by-tag basis and establishing a connection relationship. 3. The method of claim 2, wherein the establishing of the connection relationship comprises:
Wherein the metadata corresponding to each knowledge node is analyzed based on a taxonomy algorithm, a thaurus algorithm, and a vocabulary dictionary, and the association between knowledge nodes is analyzed. The method of claim 1,
Obtaining a tag and a classification scheme corresponding to the search sentence;
Selecting knowledge nodes related to the search sentence based on the obtained tag and classification scheme;
Calculating relevance of each of the selected knowledge nodes to the search sentence, and sequentially informing the selected knowledge nodes to users in descending order of relevance. At least one tag is mapped to each of a plurality of meta data corresponding to each of a plurality of data sections of a registration target data, and a plurality of knowledge nodes are registered by classifying the plurality of meta data on the basis of the tag, A data registration unit for determining the association between knowledge nodes and establishing a connection relationship between knowledge nodes; And
And a data retrieval unit retrieving a tag corresponding to the retrieval sentence and a classification scheme when a search sentence is input from a user, and searching and guiding related knowledge nodes based on the tag and the classification scheme.
KR1020150049834A 2015-04-08 2015-04-08 Knowledge Management System and method for data management based on knowledge structure KR20160120583A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018128502A1 (en) * 2017-01-09 2018-07-12 김선중 Biological system information search system and method
CN109871428A (en) * 2019-01-30 2019-06-11 北京百度网讯科技有限公司 For determining the method, apparatus, equipment and medium of the text degree of correlation
WO2019112367A1 (en) * 2017-12-08 2019-06-13 주식회사 사이냅데이터 Method for managing information on basis of system using multiple classification trees
WO2022102822A1 (en) * 2020-11-16 2022-05-19 주식회사 솔트룩스 System and method for generating customized knowledge graph

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
온톨로지 기반 영화 메타데이터간 연관성을 활용한 영화 추천 기법(김재영 (아주대학교 컴퓨터공학과), 이석원 (아주대학교 소프트웨어 융합학과)/Journal of intelligence and information systems / v.19 no.3, 2013년, pp.25-44)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018128502A1 (en) * 2017-01-09 2018-07-12 김선중 Biological system information search system and method
US11308172B2 (en) 2017-01-09 2022-04-19 Sun-Joong Kim Biological system information retrieval system and method thereof
WO2019112367A1 (en) * 2017-12-08 2019-06-13 주식회사 사이냅데이터 Method for managing information on basis of system using multiple classification trees
CN109871428A (en) * 2019-01-30 2019-06-11 北京百度网讯科技有限公司 For determining the method, apparatus, equipment and medium of the text degree of correlation
CN109871428B (en) * 2019-01-30 2022-02-18 北京百度网讯科技有限公司 Method, apparatus, device and medium for determining text relevance
US11520812B2 (en) 2019-01-30 2022-12-06 Beijing Baidu Netcom Science And Technology Co., Ltd. Method, apparatus, device and medium for determining text relevance
WO2022102822A1 (en) * 2020-11-16 2022-05-19 주식회사 솔트룩스 System and method for generating customized knowledge graph

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