article · 2015

SQOPI: Semantic Query Optimization Framework

Mohamed Mounir Hassan, Ahmed Mohammed Sultan

Cited by 0Abstract and details only

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.

Cite this paper

APA 7

Hassan, M. M., & Sultan, A. M. (2015). SQOPI: Semantic Query Optimization Framework.

MLA 9

Hassan, Mohamed Mounir, and Ahmed Mohammed Sultan. “SQOPI: Semantic Query Optimization Framework.” 2015.

Chicago

Hassan, Mohamed Mounir, and Ahmed Mohammed Sultan. 2015. “SQOPI: Semantic Query Optimization Framework.”

Harvard

Hassan, M.M. and Sultan, A.M. (2015) ‘SQOPI: Semantic Query Optimization Framework’.

BibTeX

@article{hassan2015sqopi,
  title = {{SQOPI: Semantic Query Optimization Framework}},
  author = {Hassan, Mohamed Mounir and Sultan, Ahmed Mohammed},
  year = {2015}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.