• DocumentCode
    2552141
  • Title

    Research of the conceptual representing of documents based on light ontology

  • Author

    Wang, Haoming ; Guo, Ye ; Li, Jianting ; Shi, Xibing

  • Author_Institution
    Sch. of Inf., Xi´´an Univ. of Finance & Econ., Xi´´an, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1646
  • Lastpage
    1649
  • Abstract
    The traditional method of presenting a document in an Information Retrieval(IR) system is based on terms. As the the new words appear dramatically in the Internet era, this kind of method draws back the IR system´s performance. This paper puts forward an approach by using the concepts of the ontology to present the documents. Constructing the Word-Concept(W-C) model and Concept-Document(C-D) model, we compute the relevance of word-word , word-concept and concept-document. They are used to determine which page is most relevant to the query. It is proofed to be more effective than prevenient.
  • Keywords
    Internet; document handling; information retrieval systems; ontologies (artificial intelligence); C-D model; Internet; W-C model; concept-document relevance; conceptual document represention; information retrieval system; light ontology; word-concept model; word-concept relevance; word-word relevance; Computational modeling; Educational institutions; Indexing; Ontologies; Resource description framework; Semantics; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6234292
  • Filename
    6234292