Abstract
Semantic tools such as triple stores, reasoners and query engines tend to be designed for large-scale applications. However, with the rise of sensor networks, smart-phones and smart-appliances, new scenarios appear where small devices with restricted resources have to handle limited amounts of data. It is therefore important to assess how existing 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 result 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.
Part of this research has been funded under the EC 7th Framework Programme in the context of the SmartProducts project (231204).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sabou, M., Kantorovitch, J., Nikolov, A., Tokmakoff, A., Zhou, X., Motta, E.: Position paper on realizing smart products: Challenges for semantic web technologies. In: Workshop: Semantic Sensor Networks (SSN 2009), ISWC (2009)
Guo, Y., Pan, Z., Heflin, J.: LUBM: A benchmark for OWL knowledge base systems. Journal of Web Semantics 3(2-3), 158–182 (2005)
Bizer, C., Schultz, A.: The Berlin SPARQL benchmark. International Journal on Semantic Web and Information Systems 5(2), 1–24 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
d’Aquin, M., Nikolov, A., Motta, E. (2010). How Much Semantic Data on Small Devices?. In: Cimiano, P., Pinto, H.S. (eds) Knowledge Engineering and Management by the Masses. EKAW 2010. Lecture Notes in Computer Science(), vol 6317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16438-5_46
Download citation
DOI: https://doi.org/10.1007/978-3-642-16438-5_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16437-8
Online ISBN: 978-3-642-16438-5
eBook Packages: Computer ScienceComputer Science (R0)