Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/5707
Title: Scalability and Knowledge Reusability in Ontology Modeling
Authors: Jarrar, Mustafa
Meersman, Robert
Keywords: Ontology
Scalability
Computer-aided software engineering
Ontologies
Computer software - Development
Methodology
Computer software - Reusability
Computer software - Scalability
Software architecture
Issue Date: Aug-2002
Publisher: Scuola Superiore G Reiss Romoli
Citation: Mustafa Jarrar and Robert Meersman: Scalability and Knowledge Reusability in Ontology Modeling . In Veljko Milutinovic (eds): Proceedings of the International conference on Infrastructure for e-Business, e-Education, e-Science, and e-Medicine (SSGRR 2002s). Scuola Superiore G Reiss Romoli. Rome, Italy. August 2002.
Abstract: The thesis of this paper is to present and discuss the scalability and reusability capabilities of DOGMA, an ontology modeling approach. Ontologies are repositories of domain knowledge and essential for knowledge management in organizations and for achieving interoperation among information systems. In the DOGMA ontology server architecture we implement ontologies as classical database resources separating the "fact base" from the constraints, rules, derivations etc. that commit an application to such a given ontology "base". This separation allows an increased degree of scalability and reusability for the activities of ontology building. These issues are key in the context of the so-called Semantic Web where very large numbers of partial ontologies will emerge.
URI: http://hdl.handle.net/20.500.11889/5707
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