Learning composite concepts in description logics: A first step
1996 (English)In: Foundations of Intelligent Systems: 9th International Symposium, ISMIS '96 Zakopane, Poland, June 9–13, 1996 Proceedings / [ed] Zbigniew W. Raś, Maciek Michalewicz, Springer Berlin/Heidelberg, 1996, 68-77 p.Chapter in book (Refereed)
This paper proposes the use of description logics as a representational framework for learning composite concepts. Description logics are restricted variants of first-order logic providing a form of logical bias that dates back to semantic networks. Some recent work investigates concept learning in the context of these formalisms. Also, having recognized the importance of part-whole hierarchies in commonsense reasoning, researchers have started to incorporate part-of reasoning into description logics. In our approach we represent composite concepts in such a formalism. On one hand we have a relatively rich representation language with an infinite space of possible concepts. On the other hand we have special constructs for handling part-of relations that can be used in the learning algorithm to reduce the overall search space.
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 1996. 68-77 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 1079
Machine Learning, Concept Learning, Description Logic
Engineering and Technology Computer Science
IdentifiersURN: urn:nbn:se:liu:diva-107632DOI: 10.1007/3-540-61286-6_132ISBN: 978-3-540-61286-5 (print)ISBN: 978-3-540-68440-4 (online)OAI: oai:DiVA.org:liu-107632DiVA: diva2:726137
9th International Symposium (ISMIS 1996) Zakopane, Poland, June 9–13, 1996