Dental decision making on missing tooth represented in an ontology and rules

  • Authors:
  • Seon Gyu Park;Hong-Gee Kim

  • Affiliations:
  • College of Dentistry, Seoul National University;DERI, Seoul National University

  • Venue:
  • ASWC'06 Proceedings of the First Asian conference on The Semantic Web
  • Year:
  • 2006

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Abstract

The Web Ontology Language (OWL), which is a Description Logic based ontology language, is widely used to represent formal definitions of vocabularies for domain knowledge, especially in the medical domain The Semantic Web Rule Language (SWRL), which is a Rule based ontology language, allows users to take advantage of inferencing of new knowledge from existing OWL knowledge base In this paper, we describe a use case focused on building SWRL rule base on top of the tooth positional ontology represented in OWL so as to assist a dental decision-making on a missing tooth Then, we discuss limitations of a current SWRL specification, through our experiences on converting dental knowledge into SWRL rules.