Efficient and Adaptable Query Workload-Aware Management for RDF Data

  • Hooran MahmoudiNasab
  • Sherif Sakr
Conference paper

DOI: 10.1007/978-3-642-17616-6_35

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6488)
Cite this paper as:
MahmoudiNasab H., Sakr S. (2010) Efficient and Adaptable Query Workload-Aware Management for RDF Data. In: Chen L., Triantafillou P., Suel T. (eds) Web Information Systems Engineering – WISE 2010. WISE 2010. Lecture Notes in Computer Science, vol 6488. Springer, Berlin, Heidelberg

Abstract

This paper presents a flexible and adaptable approach for achieving efficient and scalable management of RDF using relational databases. The main motivation behind our approach is that several benchmarking studies have shown that each RDF dataset requires a tailored table schema in order to achieve efficient performance during query processing. We present a two-phase approach for designing efficient tailored but flexible storage solution for RDF data based on its query workload, namely: 1) a workload-aware vertical partitioning phase. 2) an automated adjustment phase that reacts to the changes in the characteristics of the continuous stream of query workloads. We perform comprehensive experiments on two real-world RDF data sets to demonstrate that our approach is superior to the state-of-the-art techniques in this domain.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hooran MahmoudiNasab
    • 1
  • Sherif Sakr
    • 2
  1. 1.Macquarie UniversityAustralia
  2. 2.National ICT Australia (NICTA) and University of New South WalesAustralia

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