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.
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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
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DOI: https://doi.org/10.1007/11504894_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
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