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基于形式概念分析和社会网络分析的虚拟社区成员知识本体构建研究
引用本文:谷斌,黄家良.基于形式概念分析和社会网络分析的虚拟社区成员知识本体构建研究[J].现代情报,2015,35(7):3-7.
作者姓名:谷斌  黄家良
作者单位:华南理工大学经济与贸易学院, 广东 广州510006
摘    要:虚拟社区知识资产包括文本、图片等显性知识和成员的隐性知识。基于形式概念分析(FCA)和社会网络分析(SNA),提出了一种同时兼顾二者的知识组织模型——虚拟社区成员知识本体。首先阐明虚拟社区成员知识本体内涵,分析FCA和本体间的关系,提出采用FCA构建虚拟社区成员本体具有可行性和适用性。然后指出该过程的局限性,提出可以采用SNA发现"意见领袖"突破其局限性。最后,提出了基于FCA和SNA的虚拟社区成员知识本体构建的流程。


Research on Creating the Ontology of Virtual Community Member Knowledge:Based on FCA and SNA
Authors:Gu Bin  Huang Jialiang
Institution:School of Economics and Commerce, South China University of Technology, Guangzhou 510006, China
Abstract:Virtual Community knowledge assets includes the explicit knowledge(such as test, picture etc)and the members' tacit knowledge.This paper aimed to proposes a knowledge organization model which can organization both explicit knowledge and tacit knowledge.Based on FCA and SNA, this paper proposed the"Virtual Community Member Knowledge Ontology", which gave consideration to both of them.The Author first elucidated the connotation of ontology of virtual community member knowledge, and analyzed the relationship between FCA and ontology, and believed that it's of feasibility and suitability to adapt FCA to create ontology of virtual community member knowledge.However, the limitation of this process is pointed out.To break through the limitation, SNA is adapted in order to find the community opinion leaders.Based on the above principles, this paper at last put forward the process of creating the ontology of virtual community member knowledge based on FCA and SNA.
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