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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Park, S. G., & Kim, H. G. (2006). Dental decision making on missing tooth represented in an ontology and rules. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4185 LNCS, pp. 322–328). Springer Verlag. https://doi.org/10.1007/11836025_32
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