• DocumentCode
    1614800
  • Title

    An Intelligent Search Model and an Improved Matching Algorithm

  • Author

    Qing, Shi ; Jun-pen, Gong

  • Author_Institution
    Comput. Sci. & Technol. Dept., Commun. Univ. of China, Beijing, China
  • fYear
    2012
  • Firstpage
    1181
  • Lastpage
    1184
  • Abstract
    With development of semantic web technology, the intelligent and semantic exploration is becoming an important discussion to the research of search engine. This paper proposes a model of semantic search engine based on analysis of Semantic Web and ontology, and considering inheritance relationship between nodes, improves the concept of semantic distance and similarity matching algorithm. The results show that these optimizations improve the accuracy and expand the scope of application.
  • Keywords
    ontologies (artificial intelligence); pattern matching; search engines; semantic Web; Semantic Web technology; improved matching algorithm; intelligent exploration; intelligent search model; ontology; search engine; semantic exploration; Cognition; Computational modeling; Databases; Ontologies; Search engines; Semantic Web; Semantics; Ontology; Search engine; Semantic Web; Semantic similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.313
  • Filename
    6322602