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Large scale fuzzy pD* Reasonig using map reduce

Large scale fuzzy pD* Reasonig using map reduce

This video was recorded at 10th International Semantic Web Conference (ISWC), Bonn 2011. The MapReduce framework has proved to be very efficient for data-intensive tasks. Earlier work has tried to use MapReduce for large scale reasoning for pD∗ semantics and has shown promising results. In this paper, we move a step forward to consider scalable reasoning on top of semantic data under fuzzy pD∗ semantics (i.e., an extension of OWL pD∗ semantics with fuzzy vagueness). To the best of our knowledge, this is the first work to investigate how MapReduce can help to solve the scalability issue of fuzzy OWL reasoning. While most of the optimizations used by the existing MapReduce framework for pD∗ semantics are also applicable for fuzzy pD∗ semantics, unique challenges arise when we handle the fuzzy... Show More
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