• DocumentCode
    3079150
  • Title

    Enhancing search results of concept annotated documents

  • Author

    Abdelhamid, Ehab ; Rafea, Ahmed ; El-Beltagy, Samhaa R.

  • Author_Institution
    Cairo Univ., Giza, Egypt
  • fYear
    2009
  • fDate
    10-12 Aug. 2009
  • Firstpage
    330
  • Lastpage
    335
  • Abstract
    Concepts describing documents can offer a way for semantically grounding these documents. The goal of the work presented in this paper is to investigate making use of such concepts and the existence of an ontology in order to enhance search results in a known domain. So in this work we experiment with various techniques to achieve this goal. Experiments presented in this paper show that relying only on concept indexing and matching leads to degraded search results. This paper proposes an integrated approach based on augmenting a classical search technique with a concept based one which utilizes semantic information to improve the search results. A detailed discussion of the reported experimental results is also presented.
  • Keywords
    indexing; information retrieval; ontologies (artificial intelligence); search engines; semantic Web; text analysis; concept annotated document; concept indexing; concept matching; information retrieval; intelligent search engine; ontology; semantic information; text analysis; Degradation; Grounding; Indexing; Ontologies; Information Retrieval; Intelligent Search Engine; Ontology based Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse & Integration, 2009. IRI '09. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-4114-3
  • Electronic_ISBN
    978-1-4244-4116-7
  • Type

    conf

  • DOI
    10.1109/IRI.2009.5211574
  • Filename
    5211574