DocumentCode
2836922
Title
Jena Storage Plug-in Providing an Improved Query Processing Performance for Semantic Grid Computing Environment
Author
Jeong-Dong Kim ; Heeyoung Shin ; Dongwon Jeong ; Doo-kwon Baik
Author_Institution
Dept. of Comput. Sci. & Eng., Korea Univ., Seoul
fYear
2008
fDate
16-18 July 2008
Firstpage
393
Lastpage
398
Abstract
This paper proposes an enhanced storage model as a plug-in of Jena for semantic grid computing. Semantic grid is built using the technologies of the semantic Web. Jena is one of the most representative frameworks for building semantic Web applications. Jena can be used for building the semantic grid and its applications. It provides a programmatic environment for RDF and OWL. Besides that, it supports a SPARQL query processing engine, and a rule-based inference engine including a storage model. Even though it supports powerful functions, there are still several issues. Especially, its storage model provides a low query processing performance. This paper proposes a storage plug-in to provide more improved query processing performance than the original Jena storage. It promises a faster query processing support in the semantic grid as well as in the semantic Web. Also, our storage is developed as a Jena plug-in, and thus it can be seamlessly connected to other modules of the Jena framework.
Keywords
grid computing; inference mechanisms; query processing; semantic Web; Jena storage plug-in; SPARQL engine; programmatic environment; query processing; rule-based inference engine; semantic Web; semantic grid computing; storage model; OWL; Ontologies; Proposals; Query processing; Resource description format; Semantic web; Time factors; Jena; Ontology; Performance; Plug-in; Query processing; Semantic grid; Semantic web; Storage;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Engineering Workshops, 2008. CSEWORKSHOPS '08. 11th IEEE International Conference on
Conference_Location
San Paulo
Print_ISBN
978-0-7695-3257-8
Type
conf
DOI
10.1109/CSEW.2008.71
Filename
4625093
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