Discovering anomalies in semantic web rules

Yuzhang Feng, Yang Liu, Yuan Fang Li, Daqing Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The current Semantic Web ontology language has been designed to be both expressive for specifying complex concepts and decidable for automated reasoning. In recent years, the Semantic Web Rules Language has been proposed to add more expressiveness to the family of ontology languages. However the inclusion of rules has created new challenges of not only verifying the consistency of an ontology, but also checking for anomalies of a set of rules by itself. Currently automated tool support for reasoning about ontologies with rules is relatively limited compared to those for standard ontology reasoning. This paper addresses these challenges by defining notions of rule anomalies and proposing a method of discovering such anomalies by using the constraint logic programming technique and the state-of-the-art Semantic Web reasoners.

Original languageEnglish
Title of host publicationSSIRI 2010 - 4th IEEE International Conference on Secure Software Integration and Reliability Improvement
Pages33-42
Number of pages10
DOIs
Publication statusPublished - 27 Jul 2010
Externally publishedYes
Event4th IEEE International Conference on Secure Software Integration and Reliability Improvement, SSIRI 2010 - Singapore, Singapore
Duration: 9 Jun 201011 Jun 2010

Publication series

NameSSIRI 2010 - 4th IEEE International Conference on Secure Software Integration and Reliability Improvement

Conference

Conference4th IEEE International Conference on Secure Software Integration and Reliability Improvement, SSIRI 2010
Country/TerritorySingapore
CitySingapore
Period9/06/1011/06/10

Keywords

  • Logic programming
  • Semantic web

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