Title : ( A Cache-based Method for SPARQL Query Processing )
Authors: Alieh Saeedi , Mahmoud Naghibzadeh ,
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Abstract
Nowadays, the use of semantic web technologies is growing fast. On the other hand, the downside of these systems, is their poor performance compared to traditional database management systems. To tackle this problem, optimizations such as caching methods on conventional relational databases can be adapted on semantic web technologies. In this paper, we stored and reused the results of SPARQL queries in an RDF triple store which is implemented on Hadoop file system. Moreover, a method for naming the files containing cached results and also a heuristic algorithm for cache replacement and file deletion are proposed.
Keywords
, caching; Hadoop; query; sub, query; RDF; SPARQL; resource specification; resource discovery
@inproceedings{paperid:1048655,
author = {Saeedi, Alieh and Naghibzadeh, Mahmoud},
title = {A Cache-based Method for SPARQL Query Processing},
booktitle = {4th International eConference onComputer and Knowledge Engineering (ICCKE)},
year = {2014},
location = {Mashhad, IRAN},
keywords = {caching; Hadoop; query; sub-query; RDF; SPARQL; resource
specification; resource discovery},
}
%0 Conference Proceedings
%T A Cache-based Method for SPARQL Query Processing
%A Saeedi, Alieh
%A Naghibzadeh, Mahmoud
%J 4th International eConference onComputer and Knowledge Engineering (ICCKE)
%D 2014
