Enabling technology for knowledge sharing
AI Magazine
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Ontology Specification Languages for the Semantic Web
IEEE Intelligent Systems
Some ideas and examples to evaluate ontologies
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Impact of using relationships between ontologies to enhance the ontology search results
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
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In this paper, we attempt to propose a two-phased ontology selection approach. Users can describe their requirements through a two-level requirement analysis model. The coarse-level analysis model is quite simple, only used for describing the main domains covered by the desired ontology and for selecting a fixed number of promising candidate source ontologies. The fine-level analysis model then refines the coarse-level model by defining the details in each domain. It is used to find the best matched ontology from the candidates from phase 1. The token extraction module and the WordNet system are also used to help for flexible match. The proposed selection approach can help easily find an appropriate ontology for a new application.