d'Aquin, Mathieu; Nikolov, Andriy and Motta, Enrico
PDF (Accepted Manuscript)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
|Google Scholar:||Look up in Google Scholar|
Semantic tools such as triple stores, reasoners and query en- gines tend to be designed for large-scale applications. However, with the rise of sensor networks, smart-phones and smart-appliances, new scenar- ios appear where small devices with restricted resources have to handle limited amounts of data. It is therefore important to assess how ex- isting semantic tools behave on such small devices, and how much data they can reasonably handle. There exist benchmarks for comparing triple stores and query engines, but these benchmarks are targeting large-scale applications and would not be applicable in the considered scenarios. In this paper, we describe a set of small to medium scale benchmarks explicitly targeting applications on small devices. We describe the re- sult of applying these benchmarks on three different tools (Jena, Sesame and Mulgara) on the smallest existing netbook (the Asus EEE PC 700), showing how they can be used to test and compare semantic tools in resource-limited environments.
|Item Type:||Conference Item|
|Copyright Holders:||2010 EKAW|
|Academic Unit/Department:||Knowledge Media Institute|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Mathieu d'Aquin|
|Date Deposited:||02 Nov 2010 09:35|
|Last Modified:||23 Feb 2016 18:44|
|Share this page:|
► Automated document suggestions from open access sources
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.