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- W1563951013 abstract "The paper is dealing with the problem of flexible querying using vague linguistic expressions and user dependent requirements. We propose a solution based on incorporating weights into scoring rules by the usage of fuzzy logic and fuzzy similarities. We define a data model, which enables to answer queries over crisp data using fuzzy knowledge base, fuzzy interpretation of vague expressions and fuzzy similarities. We present an extension of a positive relational algebra and show that its the expressive power together with a fuzzy fixpoint operator is sufficient for evaluating fuzzy Datalog programs. We discuss also a computational model for queries with a threshold on truth values and optimization of such queries.Keywordsflexible queryingvague linguistic expressionsfuzzy Datalogfuzzy similaritiesfuzzy relational algebrathreshold computation" @default.
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- W1563951013 date "2001-01-01" @default.
- W1563951013 modified "2023-09-23" @default.
- W1563951013 title "A Data Model for Flexible Querying" @default.
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- W1563951013 doi "https://doi.org/10.1007/3-540-44803-9_22" @default.
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