Characterizing and Detecting Integrity Issues in OWL Instance Data

نویسندگان

  • Jiao Tao
  • Li Ding
  • Jie Bao
  • Deborah L. McGuinness
چکیده

OWL instance data evaluation, identified by our previous work, is to check whether the instance data conforms to the semantic expectation of its targeting applications. We have identified some integrity issues raised by applications demanding closed world reasoning. In this paper, we present a formal characterization of those integrity issues using autoepistemic operators. This approach allows users to selectively enforce integrity constraints on individual classes and properties, thus allows not only global but also local closed world reasoning with OWL instance data. We also show a practical SPARQL-based approach that is a sound approximation for detecting integrity issues.

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تاریخ انتشار 2008