Ecom - computational model for the automatic selection of candidate terms from text mining to assist ontology building
International Journal of Development Research
Ecom - computational model for the automatic selection of candidate terms from text mining to assist ontology building
Received 29th June, 2017 Received in revised form 25th July, 2017 Accepted 19th August, 2017 Published online 30th September, 2017
Copyright ©2017, Keller S. de Araújo 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.
The emergence of the Web in the 90's and its constant dissemination made possible the access to an immensurable quantity of information. However, a large part of the information available on the Web has, as its main feature, content interpretation directed to people and not to software programs. Therefore, this paper presents a tool for selecting terms of an ontology from text mining techniques and knowledge management, applied over collections of unstructured documents written in Brazilian Portuguese.
