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E. Zimányi and A. Pirotte. Imperfect knowledge in databases. In A. Motro and P. Smets, editors, Uncertainty Management in Information Systems: From Needs to Solutions, chapter 3, pages 35-87. Kluwer Academic Publishers, 1997.
© Kluwer Academic Publishers 1997

Abstract

New applications of information systems require stronger capabilities in the area of imperfect knowledge (i.e., uncertain, imprecise, and/or incomplete information). The state of the art in the field can be characterized by: (1) an active research area largely within the relational model of data; (2) a great variety of approaches that are not easily comparable, and (3) few practically usable results because of the inherent complexity of representing and manipulating imperfect knowledge. This paper draws together and analyzes a number of proposals and it identifies several issues and challenges that confront information systems. Our aim was to give a unifying presentation by formulating the database semantics both as sets of possible worlds (model-theoretic flavor) and as sets of logical formulas (proof-theoretic flavor). Besides the relational model, we briefly describe some works on non-first normal form relations and the universal relation model.


Updated: 2017-03-27