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A method for enterprise knowledge map construction based on social classification
Author(s) -
Liu Lu,
Li Jing,
Lv Chenggong
Publication year - 2009
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/sres.960
Subject(s) - knowledge management , computer science , domain knowledge , construct (python library) , domain (mathematical analysis) , knowledge integration , context (archaeology) , knowledge value chain , enterprise architecture , knowledge extraction , organizational learning , architecture , data science , artificial intelligence , mathematics , geography , mathematical analysis , archaeology , programming language
Knowledge map is an important and effective instrument for enterprise knowledge management. A large number of unordered knowledge resources in the enterprises bring about difficulties to the knowledge map construction. It is necessary to construct the enterprise knowledge map from a systematic perspective. Considering influences of individual's cognition on the organizational knowledge structure, this paper introduces social classification into the enterprise context and proposes a three‐level architecture for enterprise knowledge map construction, i.e. the individual knowledge tagging, the domain topic selection and the inter‐domain association analysis layer. In this architecture, domain serves as the basic unit to display knowledge and their relationships, as well as provides a pragmatic context for knowledge navigation and reuse. Incorporating the above elements, a method is formulated and applied to a real‐world case. Copyright © 2009 John Wiley & Sons, Ltd.