Hadoop-Based Similarity Computation System for Composed Documents


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.

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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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