A cache-based method for SPARQL query processing

Author

Saeedi, Alieh ; Naghibzadeh, Mahmoud

Author_Institution

Dept. of Comput. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran

fYear

2014

fDate

29-30 Oct. 2014

Firstpage

292

Lastpage

296

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

cache storage; parallel processing; query processing; relational databases; semantic Web; Hadoop file system; RDF triple store; SPARQL query processing; cache replacement; cache-based method; caching methods; database management systems; file deletion; files naming; heuristic algorithm; optimizations; relational databases; semantic Web technologies; Educational institutions; File systems; Heuristic algorithms; Knowledge based systems; Query processing; Resource description framework; Hadoop; RDF; SPARQL; caching; query; resource discovery; resource specification; sub-query;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Knowledge Engineering (ICCKE), 2014 4th International eConference on

Conference_Location

Mashhad

Print_ISBN

978-1-4799-5486-5

Type

conf

DOI

10.1109/ICCKE.2014.6993397

Filename

6993397