Modeling Degrees of Conceptual Overlap in Semantic Web Ontologies
نویسندگان
چکیده
Semantic Web ontologies are based on crisp logic and do not provide well-defined means for expressing uncertainty. We present a new probabilistic method to approach the problem. In our method, degrees of subsumption, i.e., overlap between concepts can be modeled and computed efficiently using Bayesian networks based on RDF(S) ontologies.
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تاریخ انتشار 2005