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Marouane Birjali
University of ChouaibDoukkali
Computer Science & IT Electrical & Electronics Engineering

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An Approach of Semantic Similarity Measure between Documents Based on Big Data Mohammed Erritali; Abderrahim Beni-Hssane; Marouane Birjali; Youness Madani
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 5: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.078 KB) | DOI: 10.11591/ijece.v6i5.pp2454-2461

Abstract

Semantic indexing and document similarity is an important information retrieval system problem in Big Data with broad applications. In this paper, we investigate MapReduce programming model as a specific framework for managing distributed processing in a large of amount documents. Then we study the state of the art of different approaches for computing the similarity of documents. Finally, we propose our approach of semantic similarity measures using WordNet as an external network semantic resource. For evaluation, we compare the proposed approach with other approaches previously presented by using our new MapReduce algorithm. Experimental results review that our proposed approach outperforms the state of the art ones on running time performance and increases the measurement of semantic similarity.
Co-Authors Abderrahim Beni-Hssane Mohammed Erritali Youness Madani