Hadoop-Based Similarity Computation System for Composed Documents

Xiaoming Zhang; Zhipeng Qin; Xuwei Liu; Qianyun Hou; Baishuang Zhang; Jie Wu

doi:10.4236/jcc.2015.35025

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Journal of Computer and Communications > Vol.3 No.5, May 2015

Hadoop-Based Similarity Computation System for Composed Documents ()

Xiaoming Zhang, Zhipeng Qin, Xuwei Liu, Qianyun Hou, Baishuang Zhang, Jie Wu

Department of Computer, Beijing Institute of Petrochemical Technology, Beijing, China.

DOI: 10.4236/jcc.2015.35025 PDF HTML XML 2,741 Downloads 3,131 Views Citations

Abstract

There exist a large number of composed documents in universities in the teaching process. Most of them are required to check the similarity for validation. A kind of similarity computation system is constructed for composed documents with images and text information. Firstly, each document is split and outputs two parts as images and text information. Then, these documents are compared by computing the similarities of images and text contents independently. Through Hadoop system, the text contents are easily and quickly separated. Experimental results show that the proposed system is efficient and practical.

Keywords

Similarity Computation, Composed Documents, Map Reduce, System Integration

Share and Cite:

Zhang, X. , Qin, Z. , Liu, X. , Hou, Q. , Zhang, B. and Wu, J. (2015) Hadoop-Based Similarity Computation System for Composed Documents. Journal of Computer and Communications, 3, 196-202. doi: 10.4236/jcc.2015.35025.

Conflicts of Interest

The authors declare no conflicts of interest.

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