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Approximate classification of semantically annotated web resources exploiting pseudo-metrics induced by local models

Abstract:
We present a classification method, founded in the instance-based learning and the disjunctive version space approach, for performing approximate retrieval from knowledge bases expressed in Description Logics. The method supplies answers even if the knowledge base of reference is inconsistent or incomplete. Moreover, the method may also induce new knowledge that can be suggested to the knowledge engineer, thus making the ontology population task semi-automatic. © 2009 IEEE.

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Publisher copy:
10.1109/WI-IAT.2009.116

Authors


D'Amato, C More by this author
Fanizzi, N More by this author
Esposito, F More by this author
Lukasiewicz, T More by this author
Journal:
Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009
Volume:
1
Pages:
689-692
Publication date:
2009
DOI:
URN:
uuid:a7e34ecc-43e6-4e08-8bd2-b5926ef8a0ab
Source identifiers:
316634
Local pid:
pubs:316634

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