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社交网络中虚拟团队的语义描述及本体构建 被引量:2

SEMANTIC DESCRIPTION AND ONTOLOGY CONSTRUCTION FOR VIRTUAL TEAMS IN SOCIAL NETWORKING
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摘要 对存在于社交网络平台中的虚拟团队进行语义描述以及本体构建是研究社交网络下群体活动规律、演变规律的重要手段。运用形式概念分析的方法对虚拟团队的角色-行为及基本属性进行语义描述。首先,通过分析虚拟团队在社交网络中的静态特点,构造其基本形式概念背景;其次,根据虚拟团队中的各类角色与行为之间的关系,对虚拟团队的动态属性进行描述,再结合基本属性概念,生成更完善的概念格;最后,利用概念格转换语义本体的方法和工具,构建虚拟团队的语义本体。 To carry out semantics description and ontology construction for virtual teams existed in social networking platform is an important means to study the community activity rules and their evolution rules in social networking.We use the method of formal concept analysis to make semantics description of the role-behaviour and basic properties of the virtual teams.Firstly,we construct the basic formal conceptual background of virtual teams by analysing the static characteristics of them in social networking.Secondly,we describe the dynamic properties of virtual teams according to the relationship between roles in virtual teams and their behaviours,and then generate more perfect concept lattice in combination with basic properties concept.Finally,we use the method and tool of converting concept lattice to semantics ontology to construct the semantics ontology of virtual teams.
出处 《计算机应用与软件》 CSCD 北大核心 2014年第11期6-10,共5页 Computer Applications and Software
基金 国家自然科学基金项目(61272067) 广东省重大科技专项计划项目(2012A080104019)
关键词 社交网络 虚拟团队 语义描述 Social networking Virtual teams Semantic description
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参考文献9

  • 1Cheung C M K, Lee M K O. A theoretical model of intentional social action in online social networks[ J ]. Decision support systems ,2010,49 (1) :24 -30.
  • 2Kongmee I, Strachan R, Pickard A, et al. Moving between Virtual and Real Worlds : Second Language Learning through Massively Multiplayer Online Role Playing Games (MMORPGs)[ C ]//Computer Science and Electronic Engineering Conference ( CEEC ), 2011 3rd. IEEE, 2011 : 13 - 18.
  • 3Lueg C. Where is the action in virtual communities of practice [ C ]// Proceedings of the Workshop Communication and Cooperation in Knowledge Communities at the D-CSCW,2000.
  • 4Lipnack J. Virtual teams:Reaching across space, time, and organiza- tions with technology[ M ]. Jeffrey Stamps, 1997:2 - 7.
  • 5何瑛.虚拟团队管理的核心问题[J].经济管理,2002,28(7):39-41. 被引量:3
  • 6李朝波.国外团队角色理论相关研究述评[J].经济研究导刊,2011(31):117-118. 被引量:10
  • 7黄美丽,刘宗田.基于形式概念分析的领域本体构建方法研究[J].计算机科学,2006,33(1):210-212. 被引量:23
  • 8Gu Tao. Using formal concept analysis for ontology structuring and building [ C ]//ICIS, Nanyang Technological University,2003 : 15 - 23.
  • 9Cimiano P, Staab S, Tane J. Automatic Acquisition of Taxonomies from Text : FCA meets NLP [ C ]// The Int' 1. Workshop on Adaptive Text Extraction and Mining,2003:10 - 17.

二级参考文献28

  • 1....http://cui.unige, ch/-hilario/icdm-01/DM-KM Final/Volz. pdf,,..
  • 2Cimiano P. Staab S, Tane J. Automatic acquisition of taxonomies form text: FCA meets NLP. In: Proceeding of the International Workshop on Adaptive Text Extraction and Mining,2003.
  • 3Cimiano P, Staab S, Tane J. Deriving concept hierarchies from text by smooth formal concept analysis. In:Proc. of the GI Workshop "Lehren Lernem-Wissen-Adaptivitat" (LLWA), 2003.
  • 4Gu Tao. Using Formal Concept Analysis for Ontology Structuring and Building. ICIS, Nanyang Technological University, 2003.
  • 5....http://protege. stanford, edu,,..
  • 6....http://sourceforge. net/projects/conexp,,..
  • 7Marek O, et al. Ontology Design with Formal Concept Analysis In:Snasel V,Belohlavek R ,eds. Concept Lattices and their Applications, Proceedings of the 2nd International CLA Workshop,TU of Ostrava, 2004.
  • 8Haav H M. An Application of Inductive Concept Analysis to Construction of Domain specific Ontologies. In: Thalheim B, Fiedler G,eds. Emerging Database Research in East Europe. Proceedings of the Pre-conference Workshop of VLDB 3003, Computer Science Reports, Brandenburg University of Technology at Cot tbus,2003. 63-67.
  • 9Haav H M, A Semi-automatic Method to Ontology Design by Using FCA. In:Snasel V, Belohlavck R , eds. Concept Lattices and their Applications. Proceedings of the 2nd International CLA Workshop, TU of Ostrava,2004, 13-25.
  • 10Noy F N , McGuinness D L . Ontology Development 101: A Guide to Creating Your First Ontology: [Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880]. 2001.

共引文献33

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  • 1Juan B.Collaborative filtering recommendation algorithm based on semantic similarity of item[C]∥2012 IEEE Fifth International Conference on Advanced Computational Intelligence(ICACI).IEEE,2012:452-454.
  • 2Chen D,Chiang Y.Combining Personal Ontology and Collaborative Filtering to Design a Document Recommendation System[J].Journal of Service Science & Management,2009,2(4):322-328.
  • 3Li Y,Bandar Z A,McLean D.An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources[J].IEEE Transactions on Knowledge and Data Engineering,2003,15(4):871-882.
  • 4Budanitsky A,Hirst G.Evaluating wordnet-based measures of lexical semantic relatedness[J].Computational Linguistics,2006,2(1):13-47.
  • 5Chen Jun-peng,Liu Juan.Combining ConceptNet and WordNet for Word Sense Disambiguation[C]∥International Joint Confe-rence on Natural Language Processing.2011:686-694.
  • 6Yu Weng,Qiu Li-rong.TECS:A Web Text Extraction ToolBased on Semantic Similarity Calculation[C]∥2011 4th International Conference on Intelligent Networks and Inteolligent Systems(ICINIS).2011:25-228.
  • 7Rada R,Mili H,Bicknell E,et al.Development and Application of a Metric on Semantic Nets[J].IEEE Transactions on Systems,Man,and Cybernetics,1989,19(1):17-30.
  • 8Harispe S,Ranwez S,Janaqi S,et al.The Semantic Measures Library:Assessing Semantic Similarity from Knowledge Representation Analysis[M]∥Natural Language Processing and Information Systems.Springer,2014:254-257.
  • 9Mohammad S,Hirst G.Distributional Measures of SemanticDistance:A Survey[J].Eprint Arxiv:12031858v1.
  • 10wikipedia Distributional_semantics http://en.wikipedia.org/wiki/Distributional_semantics.

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