Context-based Hierarchical Clustering for the Ontology Learning
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Web driven ontological concepts evaluation
IMSA'07 IASTED European Conference on Proceedings of the IASTED European Conference: internet and multimedia systems and applications
Web driven ontological concepts evaluation
EurolMSA '07 Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications
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A "Context" is an elusive concept, that, it could not be defined automatically by a machine. During the last fifteen years, a strong motivation for research on context appeared in different disciplines such as natural language semantics, linguistics, cognitive psychology and artificial intelligence (AI). In this paper, we focus our attention on the ontology learning field. Till now, the concept of "Context" was not really used for the ontology building task rather for its reuse, evaluation or formalization. In this theoretical study, we carry our interest on the use of context in the ontology learning process. We answer three crucial questions treating the impact of the context in the ontology learning task, its importance in relation with the intelligent interpretation and the utility of reasoning in multiple contexts instead of only one context. These theoretical argumentations will serve to enhance our existing contextual models either for the ontology building or evaluation, in the following research.