Unification of concept terms in description logics
Journal of Symbolic Computation
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
On the Problem of Computing Small Representations of Least Common Subsumers
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
On automating Web services discovery
The VLDB Journal — The International Journal on Very Large Data Bases
The Description Logic Handbook
The Description Logic Handbook
Finding informative commonalities in concept collections
Proceedings of the 17th ACM conference on Information and knowledge management
Tableau-based Forgetting in ALC Ontologies
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
A Unified Framework for Non-standard Reasoning Services in Description Logics
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Reasoning and explanation in EL and in expressive description logics
ReasoningWeb'10 Proceedings of the 6th international conference on Semantic technologies for software engineering
Automating competence management through non-standard reasoning
Engineering Applications of Artificial Intelligence
Introductions to description logics: a guided tour
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
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Least Common Subsumers (LCS) have been proposed in Description Logics (DL) to capture the commonalities between two or more concepts. Since its introduction in 1992, LCS have been successfully employed as a logical tool for a variety of applications, spanning from inductive learning, to bottom-up construction of knowledge bases, information retrieval, to name a few. The best known algorithm for computing LCS uses structural comparison on normal forms, and the most expressive DL it is applied to is ALEN. We provide a general tableau-based calculus for computing LCS, via substitutions on concept terms containing concept variables. We show the applicability of our method to an expressive DL (but without disjunction and full negation), discuss complexity issues, and show the generality of our proposal.