• DocumentCode
    3466290
  • Title

    Ontology Evaluation and Ranking using OntoQA

  • Author

    Tartir, Samir ; Arpinar, I. Budak

  • Author_Institution
    Univ. of Georgia, Athens
  • fYear
    2007
  • fDate
    17-19 Sept. 2007
  • Firstpage
    185
  • Lastpage
    192
  • Abstract
    Ontologies form the cornerstone of the Semantic Web and are intended to help researchers to analyze and share knowledge, and as more ontologies are being introduced, it is difficult for users to find good ontologies related to their work. Therefore, tools for evaluating and ranking the ontologies are needed. In this paper, we present OntoQA, a tool that evaluates ontologies related to a certain set of terms and then ranks them according a set of metrics that captures different aspects of ontologies. Since there are no global criteria defining how a good ontology should be, OntoQA allows users to tune the ranking towards certain features of ontologies to suit the need of their applications. We also show the effectiveness of OntoQA in ranking ontologies by comparing its results to the ranking of other comparable approaches as well as expert users.
  • Keywords
    ontologies (artificial intelligence); semantic Web; OntoQA; ontology evaluation; ontology ranking; semantic Web; Bioinformatics; Biology computing; Computer science; Distributed computing; Distributed information systems; Humans; Information analysis; Large-scale systems; Ontologies; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing, 2007. ICSC 2007. International Conference on
  • Conference_Location
    Irvine, CA
  • Print_ISBN
    978-0-7695-2997-4
  • Type

    conf

  • DOI
    10.1109/ICSC.2007.19
  • Filename
    4338348