An epistemic operator for description logics
Artificial Intelligence
Description logics of minimal knowledge and negation as failure
ACM Transactions on Computational Logic (TOCL)
Readings in Knowledge Representation
Readings in Knowledge Representation
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Extending OWL by Fuzzy Description Logic
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Determining the informational, navigational, and transactional intent of Web queries
Information Processing and Management: an International Journal
Fuzzy Ontology, Fuzzy Description Logics and Fuzzy-OWL
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Reasoning about Typicality in Preferential Description Logics
JELIA '08 Proceedings of the 11th European conference on Logics in Artificial Intelligence
Managing uncertainty and vagueness in description logics for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
PR-OWL: A Framework for Probabilistic Ontologies
Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
An OWL Ontology for Fuzzy OWL 2
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Default inheritance reasoning in hybrid KL-ONE-style logics
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
ALC + T: a Preferential Extension of Description Logics
Fundamenta Informaticae - Advances in Computational Logic (CIL C08)
Preferential description logics
LPAR'07 Proceedings of the 14th international conference on Logic for programming, artificial intelligence and reasoning
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The problem of concept representation is relevant for many subfields of cognitive research, including psychology, philosophy and artificial intelligence. In particular, in recent years, it received great attention within knowledge representation, because of its relevance for knowledge engineering and for ontology-based technologies. However, the notion of concept itself turns out to be highly disputed and problematic. In our opinion, one of the causes of this state of affairs is that the notion of concept is in some sense heterogeneous, and encompasses different cognitive phenomena. This results in a strain between conflicting requirements, such as, for example, compositionality on the one side and the need of representing prototypical information on the other. AI research in some way shows traces of this situation. In this paper we propose an analysis of this state of affairs and sketch some proposal for concept representation in formal ontologies, which takes into account suggestions coming from psychological research. Our basic assumption is that knowledge representation technologies designed considering evidences coming from experimental psychology (and, therefore, more similar to the humans way of reasoning and organizing information) can have better results in real life applications (e.g. in the field of Semantic Web).