TY - JFULL AU - Ricardo Avila and Gabriel Lopes and Vania Vidal and Jose Macedo PY - 2019/8/ TI - Using Textual Pre-Processing and Text Mining to Create Semantic Links T2 - International Journal of Educational and Pedagogical Sciences SP - 958 EP - 966 VL - 13 SN - 1307-6892 UR - https://publications.waset.org/pdf/10010548 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 151, 2019 N2 - 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 adjustments. ER -