A Data Model for Flexible Querying

  • Authors:
  • Jaroslav Pokorný;Peter Vojtás

  • Affiliations:
  • -;-

  • Venue:
  • ADBIS '01 Proceedings of the 5th East European Conference on Advances in Databases and Information Systems
  • Year:
  • 2001

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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.