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SQOPI: Semantic Query Optimization Framework

by Mohamed Mounir Hassan, Ahmed Mohammed Sultan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 6
Year of Publication: 2014
Authors: Mohamed Mounir Hassan, Ahmed Mohammed Sultan
10.5120/16800-6516

Mohamed Mounir Hassan, Ahmed Mohammed Sultan . SQOPI: Semantic Query Optimization Framework. International Journal of Computer Applications. 96, 6 ( June 2014), 27-32. DOI=10.5120/16800-6516

@article{ 10.5120/16800-6516,
author = { Mohamed Mounir Hassan, Ahmed Mohammed Sultan },
title = { SQOPI: Semantic Query Optimization Framework },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 6 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number6/16800-6516/ },
doi = { 10.5120/16800-6516 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:21:03.804478+05:30
%A Mohamed Mounir Hassan
%A Ahmed Mohammed Sultan
%T SQOPI: Semantic Query Optimization Framework
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 6
%P 27-32
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Semantic query optimization uses semantic knowledge in databases to rewrite queries and logic programs for the purpose of more efficient query evaluation. There has been a large body of work in the area of semantic query optimization. But, unfortunately, till now no commercial application of sematic query optimization techniques has received wide attention. In this paper, we address this problem by developing a unified framework (Application Programming Interface) called SQOPI that could be used by any application developer to semantically optimize queries executed against relational database regardless of DBMS type used. Our results show that SQOPI improves both time and I/O efficiency.

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Index Terms

Computer Science
Information Sciences

Keywords

Semantic Query Optimization Query Rewrite.

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