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Paper Title: Review on Managing RDF Graph Using MapReduce
Authors Name: Hetal K. Makavana , Prof. Ashutosh A. Abhangi
Unique Id: IJSDR1805035
Published In: Volume 3 Issue 5, May-2018
Abstract: solution based on Big RDF (Resource Description Framework) graphs with improve processing which populate the semantic web, are the core data structure of the big web data, the natural transposition of big data on the web. structure improve processing on the big RDF graph. it was present the “baseline operation” of fortunate web big data analytic. this require process, access and manage RDF graphs. A solution to problem is represented by MapReduce model based algorithm try to exploit the computation power offered by the MapReduce processing model in sequence order. this paper provide a servey on MapReduce based algorithm for state-of-the-art proposal using indexing solution.
Keywords: Indexing; RDF Graph; Big data Management; Big Data Mapping
Cite Article: "Review on Managing RDF Graph Using MapReduce ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 5, page no.259 - 264, May-2018, Available :http://www.ijsdr.org/papers/IJSDR1805035.pdf
Downloads: 0001531
Publication Details: Published Paper ID: IJSDR1805035
Registration ID:180260
Published In: Volume 3 Issue 5, May-2018
DOI (Digital Object Identifier):
Page No: 259 - 264
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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