Abstract
Semantic Web relies on Resource Description Framework (RDF). Because of the very simple RDF Model and Syntax, the managing of RDF-based knowledge bases requires to take into account both scalability and storage space consumption. In particular, blank nodes semantics came up recently with very interesting theoretical results that can lead to various techniques that optimize, among others, space requirements in storing RDF descriptions. We present a prototypical evolution of our system called RDFCore that exploits these theoretical results and reduces the storage space for RDF descriptions.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Hayes, P.: RDF semantics (2004), W3C Recommendation February 10 (2004), http://www.w3.org/TR/rdf-mt/
Gutierrez, C., Hurtado, C., Mendelzon, A.O.: Foundations of Semantic Web Databases. In: Proceedings of ACM Symposium on Principles of Database Systems (PODS) Paris, France, June 2004, Paris, France (June 2004)
Esposito, F., Iannone, L., Palmisano, I., Semeraro, G.: RDF Core: a Component for Effective Management of RDF Models. In: Cruz, I.F., Kashyap, V., Decker, S., Eckstein, R. (eds.) Proceedings of SWDB 2003, The first International Workshop on Semantic Web and Databases, Co-located with VLDB 2003, Humboldt-Universität, Berlin, Germany, September 7-8 (2003)
McBride, B.: JENA: A Semantic Web toolkit. IEEE Internet Computing 6, 55–59 (2002)
Wilkinson, K., Sayers, C., Kuno, H.A., Reynolds, D.: Efficient RDF storage and retrieval in jena2. In: Cruz, I.F., Kashyap, V., Decker, S., Eckstein, R. (eds.) Proceedings of SWDB 2003, The first International Workshop on Semantic Web and Databases, Co-located with VLDB 2003, Humboldt-Universität, Berlin, Germany, September 7-8, 2003, pp. 131–150 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Iannone, L., Palmisano, I., Redavid, D. (2005). Optimizing RDF Storage Removing Redundancies: An Algorithm. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_101
Download citation
DOI: https://doi.org/10.1007/11504894_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
Online ISBN: 978-3-540-31893-4
eBook Packages: Computer ScienceComputer Science (R0)