Constraints for improving the generation of intentional answers in a deductive database

Constraints for improving the generation of intentional answers in a deductive database

It is shown how intentional answers can be generated as logical consequences of the query and of deduction rules and 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...

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Hauptverfasser: Pirotte, A., Roelants, D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Database languages
Deductive databases
Filters
Laboratories
Remuneration
Sufficient conditions
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creator Pirotte, A.
Roelants, D.
description It is shown how intentional answers can be generated as logical consequences of the query and of deduction rules and 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 presented. The authors focus on the design of mechanisms for controlling the generation of intentional answers using integrity constraints. The assertions specified by constraints bear not only on the database but also on queries and intentional answers, since the latter specify sets of values from the database.< >
doi_str_mv 10.1109/ICDE.1989.47273
format Conference Proceeding
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identifier ISBN: 0818619155
ispartof [1989] Proceedings. Fifth International Conference on Data Engineering, 1989, p.652-659
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subjects Database languages
Deductive databases
Filters
Laboratories
Remuneration
Sufficient conditions
title Constraints for improving the generation of intentional answers in a deductive database
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