Abstract
To process Big Data more efficiently and intelligently, new algorithm was proposed. Big Data was represented with RDFs; schema of data was transformed into Finite Semantic Graph. Using Map/Reduce computing model, reasoning algorithm was designed to process mass data. Query was also transformed into Finite Semantic Graph, and semantic matched with full graph. Experiment has shown that algorithm is effective.
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© 2011 Springer-Verlag Berlin Heidelberg
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Qu, Z. (2011). Semantic Processing on Big Data. In: Jin, D., Lin, S. (eds) Advances in Multimedia, Software Engineering and Computing Vol.2. Advances in Intelligent and Soft Computing, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25986-9_7
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DOI: https://doi.org/10.1007/978-3-642-25986-9_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25985-2
Online ISBN: 978-3-642-25986-9
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