Abstract
Semantic Web, in order to be effective, needs automatic support for building ontologies, because human effort alone cannot cope with the huge quantity of knowledge today available on the web. We present an algorithm, based on a Machine Learning methodology, that can be used to help knowledge engineers in building up ontologies. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Iannone, L., & Palmisano, I. (2005). An algorithm based on counterfactuals for concept learning in the semantic web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 370–379). Springer Verlag. https://doi.org/10.1007/11504894_53
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