@article{(Open Science Index):https://publications.waset.org/pdf/10010548,
	  title     = {Using Textual Pre-Processing and Text Mining to Create Semantic Links},
	  author    = {Ricardo Avila and  Gabriel Lopes and  Vania Vidal and  Jose Macedo},
	  country	= {},
	  institution	= {},
	  abstract     = {This article offers a approach to the automatic discovery
of semantic concepts and links in the domain of Oil Exploration
and Production (E&P). Machine learning methods combined with
textual pre-processing techniques were used to detect local patterns in
texts and, thus, generate new concepts and new semantic links. Even
using more specific vocabularies within the oil domain, our approach
has achieved satisfactory results, suggesting that the proposal can
be applied in other domains and languages, requiring only minor
	    journal   = {International Journal of Educational and Pedagogical Sciences},
	  volume    = {13},
	  number    = {7},
	  year      = {2019},
	  pages     = {959 - 966},
	  ee        = {https://publications.waset.org/pdf/10010548},
	  url   	= {https://publications.waset.org/vol/151},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 151, 2019},