The Learnability of Description Logics with Equality Constraints
Machine Learning - Special issue on computational learning theory, COLT'92
Reasoning in description logics
Principles of knowledge representation
Computing Least Common Subsumers in Description Logics with Existential Restrictions
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
KI '98 Proceedings of the 22nd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Computing Least Common Subsumers in Expressive Description Logics
Computing Least Common Subsumers in Expressive Description Logics
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Computing least common subsumers in description logics is an important reasoning service useful for a number of applications. As shown in the literature, this reasoning service can be used for the approximation of concept disjunctions in description logics, for the "bottom-up" construction of knowledge bases, for learning tasks, and for specific kinds of information retrieval. So far, computing the least common subsumer has been restricted to description logics with rather limited expressivity. In this article, we continue recent research on extending this operation to more complex languages and present a least common subsumer operation for the expressive description logic ALQ featuring qualified number restrictions.