CLASSIC: a structural data model for objects
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
A catalog of complexity classes
Handbook of theoretical computer science (vol. A)
DAML+OIL: An Ontology Language for the Semantic Web
IEEE Intelligent Systems
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
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
Computing Least Common Subsumers in Description Logics with Existential Restrictions
Computing Least Common Subsumers in Description Logics with Existential Restrictions
The Description Logic Handbook
The Description Logic Handbook
Partial and Informative Common Subsumers in Description Logics
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Semantic matchmaking as non-monotonic reasoning: a description logic approach
Journal of Artificial Intelligence Research
A tableaux-based method for computing least common subsumers for expressive description logics
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Automating competence management through non-standard reasoning
Engineering Applications of Artificial Intelligence
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The problem of finding commonalities characterizes several Knowledge Management scenarios involving collection of resources. The automatic extraction of shared features in a collection of resource descriptions formalized in accordance with a logic language has been in fact widely investigated in the past. In particular, with reference to Description Logics concept descriptions, Least Common Subsumers have been specifically introduced. Nevertheless, such studies focused on identifying features shared by the whole collection. The paper proposes instead novel reasoning services in Description Logics, aimed at identifying commonalities in a significant portion of the collection, rather than in the collection as a whole. In particular, common subsumers adding informative content to the one provided by the Least Common Subsumer are here investigated. The new services are useful in all scenarios where features are not required to be fully shared, like the one motivating our research: Core Competence extraction in knowledge intensive companies.