Large Scale Temporal RDFS Reasoning Using MapReduce

In this work, we build a large scale reasoning engine under temporal RDFS semantics using MapReduce. We identify the major challenges of applying MapReduce framework to reason over temporal information, and present our solutions to tackle them.

Authors

• Chang Liu Tsinghua University
• Guilin Qi School of Computer Science and Engineering, Southeast University, China State Key Laboratory for Novel Software Technology, Nanjing University, China
• Yong Yu Shanghai Jiao Tong University

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