The Quest for Parallel Reasoning on the Semantic Web

Authors:
Peiqiang Li;Yi Zeng;Spyros Kotoulas;Jacopo Urbani;Ning Zhong
Affiliations:
International WIC Institute, Beijing University of Technology, Beijing, P.R. China 100124;International WIC Institute, Beijing University of Technology, Beijing, P.R. China 100124;Department of Computer Science, VU University Amsterdam, Amsterdam, The Netherlands 1081HV;Department of Computer Science, VU University Amsterdam, Amsterdam, The Netherlands 1081HV;International WIC Institute, Beijing University of Technology, Beijing, P.R. China 100124 and Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Japan 371-0816
Venue:
AMT '09 Proceedings of the 5th International Conference on Active Media Technology
Year:
2009

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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.