Knowledge based semantic query optimization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Semantic query optimization is a process of using integrity constraints and other semantic knowledge to transform a query into another equivalent one. This paper describes one approach to semantic query optimization based on precompiling the integrity constraints and gathering some information after processing a query that might be helpful for successive queries. Once ICs are compiled, all the queries will use the compiled form of ICs for optimization which will reduce the optimization time significantly. Knowledge acquired during the processing of a query is stored as temporary ICs or as control knowledge which can guide the search process of the database for future queries.

Original languageEnglish (US)
Title of host publicationMethodologies for Intelligent Systems - 6th International Symposium, ISMIS 1991, Proceedings
EditorsZbigniew W. Ras, Maria Zemankova
PublisherSpringer Verlag
Pages82-91
Number of pages10
ISBN (Print)9783540545637
DOIs
StatePublished - Jan 1 1991
Event6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991 - Charlotte , United States
Duration: Oct 16 1991Oct 19 1991

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume542 LNAI Part F2
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991
CountryUnited States
CityCharlotte
Period10/16/9110/19/91

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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