Approximating most specific concepts in description logics with existential restrictions
AI Communications - Special issue on KI-2001
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Partial and Informative Common Subsumers in Description Logics
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Computing least common subsumers in description logics with existential restrictions
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Terminological cycles in a description logic with existential restrictions
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Journal of Ambient Intelligence and Smart Environments
Enriching EL-Concepts with Greatest Fixpoints
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Computing least common subsumers in description logics
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
CEL: a polynomial-time reasoner for life science ontologies
IJCAR'06 Proceedings of the Third international joint conference on Automated Reasoning
Most specific generalizations w.r.t. general EL-TBoxes
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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We present methods that compute generalizations of concepts or individuals described in ontologies written in the Description Logic EL. These generalizations are the basis of methods for ontology design and are the core of concept similarity measures. The reasoning service least common subsumer (lcs) generalizes a set of concepts. Similarly, the most specific concept (msc) generalizes an individual into a concept description. For EL with general EL-TBoxes, the lcs and the msc may not exist. However, it is possible to find a concept description that is the lcs (msc) up to a certain role-depth. In this paper we present a practical approach for computing the lcs and msc with a bounded depth, based on the polynomial-time completion algorithm for EL and describe its implementation.