Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
A model of multimedia information retrieval
Journal of the ACM (JACM)
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Uncertainty and the Semantic Web
IEEE Intelligent Systems
Ontology Matching
Multimedia Reasoning with f-SHIN
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
Scalable querying services over fuzzy ontologies
Proceedings of the 17th international conference on World Wide Web
Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Managing uncertainty and vagueness in description logics for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
General Concept Inclusions in Fuzzy Description Logics
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
DL-Lite: tractable description logics for ontologies
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Reasoning within fuzzy description logics
Journal of Artificial Intelligence Research
Reasoning with very expressive fuzzy description logics
Journal of Artificial Intelligence Research
Generalizing term subsumption languages to fuzzy logic
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Fuzzy view-based semantic search
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Hi-index | 0.00 |
The last couple of years it is widely acknowledged that uncertainty and fuzzy extensions to ontology languages, like Description Logics (DLs) and OWL, could play a significant role in the improvement of many Semantic Web (SW) applications. Many of the tasks of SW like trust, matching, merging, ranking usually involve confidence or truth degrees that one requires to represent and reason about. Fuzzy DLs are able to represent vague concepts such as a "Tall" person, a "Hot" place, a "MiddleAged" person, a "near" destination and many more. In the current paper we present a fuzzy extension to the DL $\mathcal{SHIN}$. First, we present the semantics while latter a detailed reasoning algorithm that decides most of the key inference tasks of fuzzy-$\mathcal{SHIN}$. Finally, we briefly present the fuzzy reasoning system FiRE, which implements the proposed algorithm and two use case scenarios where we have applied fuzzy DLs through FiRE.