The Quest for Parallel Reasoning on the Semantic Web

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 ReasoningHadoop. Furthermore, this paper lays the ground for parallelizing unified search and reasoning at Web scale.

• Type: Conference
• Year: 2009
• Where: AMT
• Authors: Peiqiang Li, Yi Zeng, Spyros Kotoulas, Jacopo Urbani, Ning Zhong
• Keywords: AMT 2009, Multimedia, Semantic Web, Traditional Reasoning Tools, Web Scale