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Querying over fuzzy description logic
Wuhan University Journal of Natural Sciences, 2008Description logics (DLs) play an important role in representing and reasoning domain knowledge. Conjunctive queries stemmed from the domain of relational databases, and have attracted more attentions in semantic Web recently. To acquire a tractable DL for query answering, DL-Lite is proposed.
Jingwei Cheng +3 more
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2008
Description Logics (DLs) are knowledge representation languages, particularly suited to specify formal ontologies. DLs have been studied extensively over the last two decades. Fuzzy Description Logics (FDLs) incorporate vague concepts modeling them as fuzzy sets.
García-Cerdaña Àngel +1 more
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Description Logics (DLs) are knowledge representation languages, particularly suited to specify formal ontologies. DLs have been studied extensively over the last two decades. Fuzzy Description Logics (FDLs) incorporate vague concepts modeling them as fuzzy sets.
García-Cerdaña Àngel +1 more
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A dynamic fuzzy description logic
Wuhan University Journal of Natural Sciences, 2008Fuzzy description logics are considered as the logical infrastructure of fuzzy knowledge representation on the semantic Web. To deal with fuzzy and dynamic knowledge on the semantic Web and its applications, a new fuzzy extension of Attribute Language with Complement based on dynamic fuzzy logic called the dynamic fuzzy description logic (DFALC) is ...
Wei Fang +3 more
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Type-2 fuzzy description logic
Frontiers of Computer Science in China, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Ruixuan +5 more
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Introducing Fuzzy Temporal Description Logic
Proceedings of the 3rd International Conference on Industrial and Business Engineering, 2017Description logics are considered as the logical infrastructure of knowledge representation on the semantic Web as well as information systems. To deal with imprecise temporal knowledge and its applications, we introduce a fuzzy temporal description logic (FTDL) in which such temporal is characterized in a classic description logic.
Loan T.T Ho +2 more
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From classical Description Logic to n-graded Fuzzy Description Logic
International Conference on Fuzzy Systems, 2010Description Logics (DLs) are knowledge representation languages built on the basis of classical logic. DLs allow the creation of knowledge bases and provide ways to reason on the contents of these bases. Fuzzy Description Logics (FDLs) are natural extensions of DLs for dealing with vague concepts, commonly present in real applications.
Marco Cerami +2 more
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Generalizing Quantification in Fuzzy Description Logics
2006In this paper we introduce \( \mathcal{A}\mathcal{L}\mathcal{C}\mathcal{Q}_F^ + \), a fuzzy description logic with extended qualified quantification. The proposed language allows for the definition of fuzzy quantifiers of the absolute and relative kind by means of piecewise linear functions on ℕ and ℚ ∩ [0, 1] respectively.
Daniel Sánchez +1 more
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How to enrich description logics with fuzziness
2017 Computing Conference, 2017The paper describes the relation between fuzzy and non-fuzzy description logics. It gives an overview about current research in these areas and describes the difference between tasks for description logics and fuzzy logics. The paper also deals with the transformation properties of description logics to fuzzy logics and backwards.
Unold, Martin, Cruz, Christophe
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Extended Fuzzy Description Logic ALCN
2005Web applications based on description logics often need management of fuzzy information and encounter fuzzy concepts. This paper proposes an extended fuzzy ALCN to enable representation and reasoning for complex fuzzy information. The extended fuzzy ALCN introduces the cut sets of fuzzy concepts and fuzzy roles as atomic concepts and atomic roles, and ...
Yanhui Li +4 more
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Dempster-Shafer logical model for fuzzy Description Logics
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016Description Logics, defined as a family of knowledge representation languages, have gained a lot of popularity, due to their connection with the Semantic Web, and more precisely, with the Web Ontology Language - OWL (OWL-DL). Vague information cannot be considered negligible when dealing with Semantic Web tasks. In this context, the definition of fuzzy
Loukia Karanikola, Isambo Karali
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