• DocumentCode
    507076
  • Title

    Evaluate Retrieval Systems Based on Ontology Vocabulary

  • Author

    Ruan, Jia-Bin ; Yang, Yu-Bin ; Li, Ning

  • Author_Institution
    State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    233
  • Lastpage
    237
  • Abstract
    In the current age of information explosion, people need an effective way to help them find useful information in the midst of the vast data ¿ocean¿. To address this issue, ontology-related techniques have been increasingly applied to information retrieval in recent years, expected to help computers understand the intentions of human being and thus provide better services. It is clear that, with the help of ontology, the performances of information retrieval systems can be improved. However, it is then necessary to propose a method indicating how to measure the improvement, and to demonstrate its benefit to the industry. This paper proposes a method to evaluate retrieval systems based on ontology vocabulary, which is different from traditional evaluation methods in its purposes and applications. Experimental results have also been provided to show the effectiveness of the proposed evaluation measure.
  • Keywords
    information retrieval systems; ontologies (artificial intelligence); vocabulary; information explosion; information retrieval systems; ontology vocabulary; retrieval system evaluation; Databases; Explosions; Fuzzy systems; Image retrieval; Information retrieval; Laboratories; Marine technology; Ontologies; Sea measurements; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.850
  • Filename
    5359441