Paper Title

Review on Managing RDF Graph Using MapReduce

Authors

Hetal K. Makavana , Prof. Ashutosh A. Abhangi

Keywords

Indexing; RDF Graph; Big data Management; Big Data Mapping

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.

How To Cite

"Review on Managing RDF Graph Using MapReduce ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.259 - 264, May-2018, Available :https://ijsdr.org/papers/IJSDR1805035.pdf

Issue

Volume 3 Issue 5, May-2018

Pages : 259 - 264

Other Publication Details

Paper Reg. ID: IJSDR_180260

Published Paper Id: IJSDR1805035

Downloads: 000347477

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR1805035

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1805035

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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