Affiliation:
1. Department of Computer Science & Engineering, University of Connecticut, Storrs, CT, USA
2. Department of Pathology, University of Connecticut Health Center, Farmington, CT, USA
Abstract
Ontologies are built to establish standard terminologies representing a semantic agreement between humans and knowledge systems via representational frameworks (e.g., KIF, DAML+OIL, OWL, etc.) that have been proposed in the research community, with limited adoption in industry. One possible reason is a lack of a formal model and associated process to more precisely and accurately design and develop ontologies. The authors’ prior work explored UML, entity-relationship diagrams, and XML as compared to RDF and OWL, identifying modeling capabilities lacking in ontologies. In all three approaches, design precedes instantiation which contrasts with ontology developers who build ontologies at the application level targeted to a specific domain. The paper proposes design-level modeling enhancements to ontologies by extending the OMG Ontology Definition Model (ODM) and OWL grammar with capabilities from the three aforementioned approaches, promoting a software engineering-based process. As a result, this work provides a more software engineering-oriented process to ontology design and development.
Subject
Computer Networks and Communications,Information Systems
Cited by
10 articles.
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