• DocumentCode
    3229317
  • Title

    A Fine-Grained Approach to Resolving Unsatisfiable Ontologies

  • Author

    Lam, Sik Chun Joey ; Pan, Jelf Z. ; Sleeman, Derek ; Vasconcelos, Wamberto

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Aberdeen
  • fYear
    2006
  • fDate
    18-22 Dec. 2006
  • Firstpage
    428
  • Lastpage
    434
  • Abstract
    In the semantic Web, inconsistencies in OWL ontologies may easily occur. Existing approaches either identify the minimally unsatisfiable sub-ontologies or calculate the maximally satisfiable sub-ontologies. However practical problems remain; it is not clear which axioms or which parts of axioms should be selected for repair, and how to repair those axioms. In this paper, we address this limitation by proposing a fine-grained approach to resolving unsatisfiable ontologies. We revise the axiom tracing technique first proposed by Baader and Hollunder, so as to track which parts of the problematic axioms cause the unsatisfiability. Moreover, we support ontology users in rewriting problematic axioms. In order to minimise the impact of changes and prevent unintended entailment loss, harmful and helpful changes are identified and provided as guidelines. Based on the methods described we present a preliminary version of an interactive debugging tool and demonstrate its applicability in practice
  • Keywords
    computability; knowledge representation languages; ontologies (artificial intelligence); semantic Web; OWL ontology; axiom tracing technique; interactive debugging tool; semantic Web; unsatisfiable ontology; Automatic logic units; Debugging; Guidelines; OWL; Ontologies; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2747-7
  • Type

    conf

  • DOI
    10.1109/WI.2006.11
  • Filename
    4061407