• DocumentCode
    2539373
  • Title

    Eliminate semantic conflicts in Web mining with extension methods

  • Author

    Weihua, Li ; Chunyan, Yang

  • Author_Institution
    Guangdong Univ. of Technol., Guangzhou
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    1183
  • Lastpage
    1187
  • Abstract
    This paper discusses the issue of semantic conflicts in Web mining. It shows that intelligent agents with the help of ontology can eliminate some kinds of these semantic conflicts but they cannot eliminate other complicated ones. The paper proposes to use the extension methods that can eliminate different kinds of semantic conflicts effectively. It presents examples of semantic conflicts elimination process by the extension methods.
  • Keywords
    data mining; ontologies (artificial intelligence); semantic Web; Web mining; extension methods; intelligent agents; ontology; semantic conflicts; semantic conflicts elimination process; Databases; Humans; Information retrieval; Intelligent agent; Machine intelligence; Ontologies; Semantic Web; Vocabulary; Web mining; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4413607
  • Filename
    4413607