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.
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Iannone, L., Palmisano, I. (2005). An Algorithm Based on Counterfactuals for Concept Learning in the Semantic Web. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_53
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DOI: https://doi.org/10.1007/11504894_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
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