• DocumentCode
    480770
  • Title

    Evaluating Ontology Modules Using an Entropy Inspired Metric

  • Author

    Doran, Paul ; Tamma, Valentina ; Palmisano, Ignazio ; Payne, Terry R. ; Iannone, Luigi

  • Author_Institution
    Univ. of Liverpool, Liverpool
  • Volume
    1
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    918
  • Lastpage
    922
  • Abstract
    In this paper we therefore propose a reformulation of the entropy metric to evaluate the amount of information carried by both the ontology structure, and also by the language elements (i.e. the semantics associated with the edges in the ontological graph). To evaluate this approach, the reformulated metric is empirically compared to Calemt & Daemi´s original entropy metric, for a variety of different sized modules. The results suggest that not only can entropy differentiate between structurally different modules of the same size, but that our improved entropy metric provides a finer grain differentiation than the original entropy metric.
  • Keywords
    entropy; ontologies (artificial intelligence); entropy inspired metric; ontology engineers; ontology modularization; ontology module extraction techniques; ontology reuse; Convergence; Entropy; Information theory; Intelligent agent; Knowledge engineering; OWL; Ontologies; Publishing; Semantic Web; Size measurement; Ontology modularization; entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.256
  • Filename
    4740576