By Topic

Jena Storage Plug-in Providing an Improved Query Processing Performance for Semantic Grid Computing Environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jeong-Dong Kim ; Dept. of Comput. Sci. & Eng., Korea Univ., Seoul ; Heeyoung Shin ; Dongwon Jeong ; Doo-kwon Baik

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.

Published in:

Computational Science and Engineering Workshops, 2008. CSEWORKSHOPS '08. 11th IEEE International Conference on

Date of Conference:

16-18 July 2008