• DocumentCode
    3245630
  • Title

    A Social Network Analysis methods based on ontology

  • Author

    Li, Tao ; Yang, He ; He, Jun ; Ai, Yong

  • Author_Institution
    Sch. of Comput., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    20-21 Oct. 2010
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    Social Network Analysis mainly make use of graph theory and matrix technology to analyze relationship data, but relationships are various and different, the edges in the graph or the numerical values in the matrix are incapable of express the plentiful semantics that the relationships. In this paper, a social network analysis method based on ontology is proposed, which can describe the semantic of relationship. We create the relationship ontology, and illuminate the attribute and constraints of ontology, so the computer can know the relationship semantic and implement the reasoning.
  • Keywords
    graph theory; matrix algebra; ontologies (artificial intelligence); social networking (online); graph theory; matrix technology; relationship data analysis; relationship ontology; relationship semantic; social network analysis method; Ontologies; Semantics; ontology; relationship ontology; social network analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8004-3
  • Type

    conf

  • DOI
    10.1109/KAM.2010.5646196
  • Filename
    5646196