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Scientific Programming
Volume 2017, Article ID 7831897, 10 pages
https://doi.org/10.1155/2017/7831897
Research Article

Semantic Annotation of Unstructured Documents Using Concepts Similarity

1National Center of Research and Technological Development (CENIDET), Cuernavaca, MOR, Mexico
2Center for Research and Innovation in Information and Communications Technologies, Ciudad de México, Mexico
3National Institute of Electricity and Clean Energy (INEEL), Cuernavaca, MOR, Mexico

Correspondence should be addressed to Fernando Pech; xm.ude.tedinec@hcepf

Received 17 June 2017; Revised 2 October 2017; Accepted 8 November 2017; Published 7 December 2017

Academic Editor: José María Álvarez-Rodríguez

Copyright © 2017 Fernando Pech et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Fernando Pech, Alicia Martinez, Hugo Estrada, and Yasmin Hernandez, “Semantic Annotation of Unstructured Documents Using Concepts Similarity,” Scientific Programming, vol. 2017, Article ID 7831897, 10 pages, 2017. https://doi.org/10.1155/2017/7831897.