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2008

Characterizing and Detecting Integrity Issues in OWL Instance Data

8 years 11 months ago
Characterizing and Detecting Integrity Issues in OWL Instance Data
We view OWL instance data evaluation as a process in which instance data is checked for conformance with application requirements. We previously 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, and a practical SPARQL-based issue checking approach that is a sound approximation for detecting integrity issues. Key words: Instance Data, Evaluation, Autoepistemic Description Logics, OWL, SPARQL
Jiao Tao, Li Ding, Jie Bao, Deborah L. McGuinness
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2008
Where OWLED
Authors Jiao Tao, Li Ding, Jie Bao, Deborah L. McGuinness
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