Integrity Constraints in OWL

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Citation: Tao, J., Sirin, E., Bao, J., and McGuinness, D.L. 2010. Integrity Constraints in OWL. In Proceedings of AAAI 2010 (July 11-15 2010).

Presented at the AAAI 2010

Abstract:

In many data-centric applications, we would like to use OWL to express constraints that must be satisfied by instance data. However, the Open World Assumption (OWA) in OWL’s standard semantics, combined with the absence of the Unique Name Assumption (UNA), makes it difficult to use OWL in this way. What triggers constraint violations in closed world systems leads to new inferences in standard OWL systems. In this paper, we present an Integrity Constraint (IC) semantics for OWL axioms that is based on the Closed World Assumption (CWA) and the weak UNA to address this issue. Ontology modelers can choose which axioms will be interpreted with IC semantics, thus combine open world reasoning with closed world constraint validation in a flexible way. We also show that IC validation can be reduced to query answering under certain conditions. Finally, we briefly describe our prototype implementation based on the OWL reasoner Pellet.

History

DateCreated ByLink
July 14, 2011
16:49:14
Jiao TaoDownload

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Inference Web Project LogoInference Web
Principal Investigator: Deborah L. McGuinness
Description: The Inference Web is a Semantic Web based knowledge provenance infrastructure that supports interoperable explanations of sources, assumptions, learned information, and answers as an enabler for trust. Provenance - if users (humans and agents) are to use and integrate data from unknown, uncertain, or multiple sources, they need provenance metadata for evaluation Interoperability - more systems are using varied sources and multiple information manipulation engines, thus increasing interoperability requirements Explanation/Justification - if information has been manipulated (i.e., by sound deduction or by heuristic processes), information manipulation trace information should be available Trust - if some sources are more trustworthy than others, trust ratings are desired The Inference Web consists of two important components: Proof Markup Language (PML) Ontology - Semantic Web based representation for exchanging explanations including provenance information - annotating the sources of knowledge justification information - annotating the steps for deriving the conclusions or executing workflows trust information - annotating trustworthiness assertions about knowledge and sources IW Toolkit - Web-based and standalone tools that facilitate human users to browse, debug, explain, and abstract the knowledge encoded in PML.

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Lead Professor: Deborah L. McGuinness
Description: Knowledge Provenance
Concepts: , Semantic Web
Ontology Engineering Environments
Lead Professor: Deborah L. McGuinness
Description: Ontology Engineering Environments
Concepts: Semantic Web
Semantic Foundations
Lead Professor: Deborah L. McGuinness
Description: Semantic Foundations
Concepts: Semantic Web