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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Identifying and Extracting Named Entities from Wikipedia Database Using Entity Infoboxes

Author 1: Muhidin Mohamed
Author 2: Mourad Oussalah

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2014.050725

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 7, 2014.

  • Abstract and Keywords
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Abstract: An approach for named entity classification based on Wikipedia article infoboxes is described in this paper. It identifies the three fundamental named entity types, namely; Person, Location and Organization. An entity classification is accomplished by matching entity attributes extracted from the relevant entity article infobox against core entity attributes built from Wikipedia Infobox Templates. Experimental results showed that the classifier can achieve a high accuracy and F-measure scores of 97%. Based on this approach, a database of around 1.6 million 3-typed named entities is created from 20140203 Wikipedia dump. Experiments on CoNLL2003 shared task named entity recognition (NER) dataset disclosed the system’s outstanding performance in comparison to three different state-of-the-art systems.

Keywords: named entity identification; Wikipedia infobox; infobox templates; Named Entity Classification (NEC);

Muhidin Mohamed and Mourad Oussalah, “Identifying and Extracting Named Entities from Wikipedia Database Using Entity Infoboxes” International Journal of Advanced Computer Science and Applications(IJACSA), 5(7), 2014. http://dx.doi.org/10.14569/IJACSA.2014.050725

@article{Mohamed2014,
title = {Identifying and Extracting Named Entities from Wikipedia Database Using Entity Infoboxes},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.050725},
url = {http://dx.doi.org/10.14569/IJACSA.2014.050725},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {7},
author = {Muhidin Mohamed and Mourad Oussalah}
}


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