Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Bipolarity in Flexible Querying
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
RankSQL: query algebra and optimization for relational top-k queries
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Bipolar Queries Using Various Interpretations of Logical Connectives
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Dealing with Positive and Negative Query Criteria in Fuzzy Database Querying
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Extending relational algebra to handle bipolarity
Proceedings of the 2010 ACM Symposium on Applied Computing
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
A Fuzzy Ontology for Database Querying with Bipolar Preferences
International Journal of Intelligent Systems
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Flexible querying of information systems allows expressing complex preferences in user queries. Such preferences can be modeled by fuzzy bipolar conditions which are made of constraints c and wishes w and interpreted as ”to satisfy c and if possible to satisfy w”.We define in this article the main elements of the Bipolar SQLf language, which is an SQL-like querying language based on a bipolar relational algebra [11,3]. This language is an extension of the SQLf language [2,1]. Basic statements (projection, selection, etc.) are firstly defined in terms of syntax, evaluation and calibration. Then, complex statements, such as bipolar queries based on nesting operators are studied in terms of expression, evaluation, query equivalence and backward compatibility with the SQLf language.