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A. Pirotte, D. Roelants, and E. Zimányi. Controlled Generation of Intensional Answers. IEEE Transactions on Knowledge and Data Engineering, 3(2):221-236, June 1991.
© IEEE Computer Society Press 1991 – http://doi.ieeecomputersociety.org/10.1109/69.88002

Abstract

Instead of answering a query with a list of database items that satisfy it (the usual extensional answer), an intensional answer is a statement that characterizes the answer in general terms, in a strategy aiming at cooperative query answering. Technically, the statement of the intensional answer is a condition that database items must satisfy in order to belong to the extensional answer. This paper motivates the concept of intensional answers and introduces a general method for generating them as logical consequences of the query and of deduction rules. It then shows how integrity constraints can filter out inadequate answers and produce simpler and more informative answers. An efficient organization for the combination of answers and constraints is described. Then, we study the introduction of negation in queries and in the body of deduction rules. Beyond the mechanics of answer generation, the interest of the approach also depends on a strategy for selecting practically useful answers for a user submitting a query. This requires techniques for user modeling and dialogue management similar to those required for expert systems.


Updated: 2017-03-27