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Dental Decision Making on Missing Tooth Represented in an Ontology and Rules

  • Seon Gyu Park
  • Hong-Gee Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)

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.

Keywords

Description Logic Ontology Language Tooth Position Ontology Base Fixed Partial Denture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Seon Gyu Park
    • 1
  • Hong-Gee Kim
    • 2
  1. 1.College of DentistrySeoul National University 
  2. 2.DERISeoul National University 

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