Managing Exceptions, Defaults, and Inconsistencies in Semantic Web Ontologies

Neli P. Zlatareva


Emerging Applications, Semantic Web, Rule-based Web Technologies, Justification-based Reasoning, Knowledge Representation for the Semantic Web


Ontologies are the backbone of the emerging Semantic Web, which is envisioned to dramatically improve web services by extending them with intelligent capabilities such as reasoning and context-awareness. Current ontology languages built upon Description Logics target simple typed ontologies which are precisely and consistently specified. As the size and complexity of web ontologies grow, the need for more flexible representations capable of maintaining uncertain, incomplete and even inconsistent knowledge emerges. This paper presents a logical framework which utilizes context-dependent rules to handle exceptions, defaults, and inconsistencies in imprecisely specified ontologies. Contrary to traditional non-monotonic logics requiring consistency check to support default reasoning, the presented logical framework works under the Open World Assumption which justifies its utilization in Semantic Web applications.

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