• DocumentCode
    2386634
  • Title

    On Conceptualization Mismatches Between Ontologies

  • Author

    Qadir, Muhammad Abdul ; Fahad, Muhammad ; Noshairwan, Muhammad Wajahaat

  • Author_Institution
    Mohammad Ali Jinnah Univ., Islamabad
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    275
  • Lastpage
    275
  • Abstract
    Ontology, as the means for conceptualizing and structuring domain knowledge, has become the backbone to enable the fulfillment of the semantic Web vision. But as the number of different online ontologies is growing significantly, the problem of managing semantic heterogeneity is increasingly seen. This semantic heterogeneity originates as a mismatch in the way the domain is interpreted and modeled. Many researches identified the reasons of semantic mismatches and categorized them into three main classes´ i.e. linguistic mismatch, conceptualization mismatch and explication mismatch. In this paper, we have identified three more types of conceptualization mismatches. We have demonstrated the importance of such mismatches by giving different scenarios where appropriate. These mismatches should be paid more attention during ontology integration for sound semantic Web environment, because if ignored then we cannot take combined use of independently developed ontologies effectively.
  • Keywords
    formal specification; ontologies (artificial intelligence); semantic Web; conceptualization mismatches; explication mismatch; linguistic mismatch; online ontologies; semantic Web vision; semantic heterogeneity; semantic mismatches; Computer vision; Formal specifications; Merging; Microstrip; OWL; Ontologies; Resource description framework; Semantic Web; Spine; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2007. GRC 2007. IEEE International Conference on
  • Conference_Location
    Fremont, CA
  • Print_ISBN
    978-0-7695-3032-1
  • Type

    conf

  • DOI
    10.1109/GrC.2007.150
  • Filename
    4403109