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Reseach Article

A Novel Document Retrieval Scheme using Relational Keyword Search System

by Neelam S. Pokale, Jyoti R. Yemul
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 19
Year of Publication: 2015
Authors: Neelam S. Pokale, Jyoti R. Yemul
10.5120/21808-5127

Neelam S. Pokale, Jyoti R. Yemul . A Novel Document Retrieval Scheme using Relational Keyword Search System. International Journal of Computer Applications. 122, 19 ( July 2015), 17-20. DOI=10.5120/21808-5127

@article{ 10.5120/21808-5127,
author = { Neelam S. Pokale, Jyoti R. Yemul },
title = { A Novel Document Retrieval Scheme using Relational Keyword Search System },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 19 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number19/21808-5127/ },
doi = { 10.5120/21808-5127 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:10:57.941535+05:30
%A Neelam S. Pokale
%A Jyoti R. Yemul
%T A Novel Document Retrieval Scheme using Relational Keyword Search System
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 19
%P 17-20
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Keyword search pattern to relational data is the most important and the highlighted area within a search and information retrieval community. For the system evaluations, there are many approaches followed but there is a lack of standardization. The result of lack of standardization affects performance of the system. The number of queries completed successfully in a query workload is performance wise not showing good results for relational keyword search system. The solution to above problem is to develop a novel technique for efficient document retrieval using relational keyword search system. The new system is developed to manage uploading and downloading of data from disk to improve performance and reuse dataset and query workload to provide greater consistency of results. A scalable document retrieval improves the search performance in terms of execution time, cost efficiency and apply ranking to the document depends on query weight. The new system gives 30% to 40% reduction in the search execution time compared to the existing system.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Relational Keyword Search System Schema Based Systems Relational Database