General multiple-objective decision functions and linguistically quantified statements
International Journal of Man-Machine Studies - Lecture notes in computer science Vol. 174
Fuzzy Sets and Systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
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SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
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FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
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Proceedings of the 2005 ACM SIGMOD international conference on Management of data
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VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
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Web Semantics: Science, Services and Agents on the World Wide Web
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DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
DL-Lite: tractable description logics for ontologies
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Extending relational algebra to handle bipolarity
Proceedings of the 2010 ACM Symposium on Applied Computing
DeLorean: A reasoner for fuzzy OWL 2
Expert Systems with Applications: An International Journal
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WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
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ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
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FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
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FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
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The expression and the evaluation of complex user preferences in the context of distributed and heterogeneous information systems are tackled in this paper. Complex preferences are modeled by fuzzy bipolar conditions, which associate negative and positive conditions. Queries involving such conditions are called bipolar queries. In our case, such queries are addressed to information systems such as Web applications, built on several distributed and heterogeneous databases. This querying can lead to process huge volumes of data and can deliver massive responses, in which it is difficult to the user to distinguish the relevant answers from irrelevant ones. Semantic aspects make it possible to address this problem by providing a personalized data access method, so that only the most relevant data are targeted to evaluate queries. We introduce then in this paper a new approach for flexible querying of complex information systems that combines a reasoning mechanism (an ontology-based on the fuzzy bipolar DLR-Lite) with a bipolar relational language of a high expressivity (Bipolar SQLf language). The reasoning mechanism can also answer queries in approximative way, based on degrees expressing at which extent it is possible to substitute a concept in the query with other concepts, while still meaningful to the user. © 2013 Wiley Periodicals, Inc.