• DocumentCode
    1663451
  • Title

    Evaluation Criteria Ontology Modularization Tools

  • Author

    Oh, Sunju ; Yeom, Heon Y.

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea
  • Volume
    3
  • fYear
    2011
  • Firstpage
    365
  • Lastpage
    368
  • Abstract
    Semantic Web and ontology have received increased attention in recent years. Various tools on modularization have been developed. However, selecting an appropriate ontology to fit a given context is difficult because assumptions for the approaches vary greatly. Therefore, a method that can compare modularization tools and help screen the most suitable approach is highly desired. In this research, a new set of evaluation criteria for selecting appropriate ontology modularization tools is proposed. Three aspects of tool evaluation, namely, tool performance, data performance, and usability are presented. This study is an empirical analysis of a number of modularization tools. Experimental results indicate that the proposed evaluation criteria for ontology modularization tools are valid and effective. It provides an evaluation method for ontology modularization, enabling ontology engineers to compare different modularization tools and easily choose the appropriate approach to produce quality ontology modules.
  • Keywords
    ontologies (artificial intelligence); semantic Web; data performance; evaluation criteria ontology modularization tools; semantic Web; tool performance; usability; Cognition; Couplings; Educational institutions; OWL; Ontologies; Usability; Visualization; evaluation; modularization; ontology; tool;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Lyon
  • Print_ISBN
    978-1-4577-1373-6
  • Electronic_ISBN
    978-0-7695-4513-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2011.107
  • Filename
    6040880