Large Scale Temporal RDFS Reasoning Using MapReduce

Authors

  • Chang Liu Shanghai Jiao Tong University
  • Guilin Qi Southeast University
  • Yong Yu Shanghai Jiao Tong University

DOI:

https://doi.org/10.1609/aaai.v26i1.8417

Keywords:

Temporal RDFS, MapReduce, Large Scale Reasoning

Abstract

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.

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Published

2021-09-20

How to Cite

Liu, C., Qi, G., & Yu, Y. (2021). Large Scale Temporal RDFS Reasoning Using MapReduce. Proceedings of the AAAI Conference on Artificial Intelligence, 26(1), 2441-2442. https://doi.org/10.1609/aaai.v26i1.8417

Issue

Vol. 26 No. 1 (2012): Twenty-Sixth AAAI Conference on Artificial Intelligence

Section

Student Abstract Track