• DocumentCode
    2607357
  • Title

    Prototype of semantic search engine using ontology

  • Author

    Esa, Ahmad Maziz ; Taib, Shakirah Mohd ; Hong Nguyen Thi

  • Author_Institution
    Comput. Inf. Sci., Univ. Teknol. Petronas, Tronoh, Malaysia
  • fYear
    2010
  • fDate
    5-7 Dec. 2010
  • Firstpage
    109
  • Lastpage
    114
  • Abstract
    In this paper we discuss the fundamental problem of information retrieval on the Web. Information on the Web is not semantically categorized and stored. This research focuses on applying semantic capabilities using ontology on search engine. By using ontology, search engine can search keywords that are conceptually linked instead of just similarity of the words used. This paper also provides in depth description of the architecture design of our proposed modified search engine. This paper describes how the mechanism is designed so that the search engine can extract information stored based on the ontology and present a semantically linked search results. The benefits and future improvements are also discussed.
  • Keywords
    Internet; information retrieval; ontologies (artificial intelligence); search engines; architecture design; depth description; information extraction; information retrieval; ontology; semantic search engine; Crawlers; Data mining; Indexes; Ontologies; Search engines; Semantics; Web pages; information retrieval; ontology; search engine; semantic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Open Systems (ICOS), 2010 IEEE Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-9193-3
  • Type

    conf

  • DOI
    10.1109/ICOS.2010.5720073
  • Filename
    5720073