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The Quest for Parallel Reasoning on the Semantic Web

  • Peiqiang Li
  • Yi Zeng
  • Spyros Kotoulas
  • Jacopo Urbani
  • Ning Zhong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5820)

Abstract

Traditional reasoning tools for the Semantic Web cannot cope with Web scale data. One major direction to improve performance is parallelization. This article surveys existing studies, basic ideas and mechanisms for parallel reasoning, and introduces three major parallel applications on the Semantic Web: LarKC, MaRVIN, and Reasoning-Hadoop. Furthermore, this paper lays the ground for parallelizing unified search and reasoning at Web scale.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Peiqiang Li
    • 1
  • Yi Zeng
    • 1
  • Spyros Kotoulas
    • 2
  • Jacopo Urbani
    • 2
  • Ning Zhong
    • 1
    • 3
  1. 1.International WIC InstituteBeijing University of TechnologyBeijingP.R. China
  2. 2.Department of Computer ScienceVU University AmsterdamAmsterdamThe Netherlands
  3. 3.Department of Life Science and InformaticsMaebashi Institute of TechnologyMaebashiJapan

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