Hendra Suryanto and Paul Compton. Learning classification taxonomies from a classification knowledge based system. In ECAI 2000. Home/Search Document Details and Download
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Multi-level Rule Discovery from Propositional Knowledge Bases - Richards, Malik (Correct)
....his conclusion. Kietz et al. 14] offer an algorithm that uses two parameters: support and confidence for a rule to semiautomatically develop an ontology from text. As Omelayanko points out, ML results in flat homogeneous structures often in propositional form. He cites work from the RDR group [25], which was seeded by our FCA work, which learns different relationships between classifications: subsumption in marginal cases, mutual exclusivity and similarity and then develops a taxonomic hierarchy between the classes. Our goal to develop an approach that supports multiple levels of ....
Suryanto, H., and Compton, P. (2000) Learning Classification Taxonomies from a Classification Knowledge Based System. In S. Staab, A. Maedche, C. Nedellec, P. Wiemer-Hastings (eds) Proceedings of the Workshop on Ontology Learning, 14 Conference on Artificial Intelligence (ECAI'00) August 20-25, Berlin.
Constructing and Refining Operationalized Ontologies within.. - Minock (Correct)
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Hendra Suryanto and Paul Compton. Learning classification taxonomies from a classification knowledge based system. In ECAI 2000.
Constructing and Refining Operationalized Ontologies within.. - Minock (Correct)
No context found.
Hendra Suryanto and Paul Compton. Learning classification taxonomies from a classification knowledge based system. In ECAI 2000.
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