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A data model for flexible querying. (English) Zbl 1005.68515

Caplinskas, Albertas (ed.) et al., Advances in databases and information systems. 5th East European conference, ADBIS 2001, Vilnius, Lithuania, September 25-28, 2001. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2151, 280-293 (2001).
Summary: The paper deals 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.
For the entire collection see [Zbl 0971.00029].

MSC:

68P15 Database theory
68P20 Information storage and retrieval of data
68T37 Reasoning under uncertainty in the context of artificial intelligence
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