Evaluation of some optimisation techniques for semantic query answering on shared-nothing architecture
by Tomasz Wiktor Wlodarczyk; Han Yi; Xiao Yu; Chunming Rong
International Journal of Space-Based and Situated Computing (IJSSC), Vol. 2, No. 1, 2012

Abstract: In this paper, we present an evaluation of several optimisation techniques for semantic query answering for large datasets. We investigate influence of cluster configuration parameters on performance of different types of queries. We also compare data materialisation against query rewriting demonstrating that for more complex queries performance of query rewriting is not satisfactory. We also test performance of different types of encoding demonstrating that integer encoding can significantly improve the performance, but it is sensitive to implementation of its internal methods.

Online publication date: Fri, 10-Feb-2012

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Space-Based and Situated Computing (IJSSC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com