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Automatic Creation of Ontology Using a Lexical Database: An Application for the Energy Sector.

, , and . NLDB, volume 9612 of Lecture Notes in Computer Science, page 415-420. Springer, (2016)

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Automatic Creation of Ontology Using a Lexical Database: An Application for the Energy Sector., , and . NLDB, volume 9612 of Lecture Notes in Computer Science, page 415-420. Springer, (2016)A Proximity-Based Semantic Enrichment Approach of Volunteered Geographic Information: A Study Case of Waste of Water., , , and . Information, 10 (7): 234 (2019)Evaluating ontology development from the extraction of noun phrases, , and . page 12. Salvador, BA, (2019)Semi-automatic Follow-Up of Graduates., , , and . SCCC, page 114-122. IEEE Computer Society, (2012)Ontological Semantic Annotation of an English Corpus Through Condition Random Fields., , and . Information, 10 (5): 171 (2019)A Rule-based Semantic Annotator: Adding top-level ontology Tags., , and . STIL, page 53-62. Sociedade Brasileira de Computação, (2017)Fire and Water: Using Deep Learning to Recognize Fluid Substances., , and . BRACIS, page 228-232. IEEE, (2019)Sentiment Analysis Applied to Hotels Evaluation., , and . ICCSA (6), volume 10409 of Lecture Notes in Computer Science, page 710-716. Springer, (2017)Ontological aspects in the formalisation of the FrameNet inheritance relationship., , , and . Int. J. Metadata Semant. Ontologies, 10 (2): 92-100 (2015)An Approach for Semantically Enriching Volunteered Geographic Data with Linked Data., , , and . ICCSA (3), volume 10406 of Lecture Notes in Computer Science, page 296-306. Springer, (2017)