Towards a Symptom Ontology for Semantic Web Applications

As the use of Semantic Web ontologies continues to expand there is a growing need for tools that can validate ontological consistency and provide guidance in the correction of detected defects and errors. A number of tools already exist as evidenced by the ten systems participating in the W3C’s evaluation of the OWL Test Cases. For the most part, these first generation tools focus on experimental approaches to consistency checking, while minimal attention is paid to how the results will be used or how the systems might interoperate. For this reason very few of these systems produce results in a machine-readable format (for example as OWL annotations) and there is no shared notion across the tools of how to identify and describe what it is that makes a specific ontology or annotation inconsistent. In this paper we propose the development of a Symptom Ontology for the Semantic Web that would serve as a common language for identifying and describing semantic errors and warnings that may...

• Type: Conference
• Year: 2004
• Where: SEMWEB
• Authors: Kenneth Baclawski, Christopher J. Matheus, Mieczyslaw M. Kokar, Jerzy Letkowski, Paul A. Kogut
• Keywords: Semantic Web, Semantic Web Ontologies, SEMWEB 2004, Symptom Ontology