Open AccessA modular framework for ontology learning from text in Portuguese
Author(s) -
Norton Coelho Guimarães,
Cedric Luiz de Carvalho
Publication year - 2020
Publication title -
multi-science journal
Language(s) - English
Resource type - Journals
ISSN - 2359-6902
DOI - 10.33837/msj.v3i3.899
Subject(s) - ontology , computer science , ontology learning , upper ontology , ontology based data integration , knowledge representation and reasoning , process ontology , suggested upper merged ontology , natural language processing , formal ontology , structuring , standardization , artificial intelligence , domain (mathematical analysis) , field (mathematics) , natural language , domain knowledge , mathematical analysis , philosophy , mathematics , epistemology , finance , pure mathematics , economics , operating system
Research on ontology learning has been carried out in many knowledge areas, especially in Artificial Intelligence. Semi-automatic or automatic ontology learning can contribute to the field of knowledge representation. Many semi-automatic approaches to ontology learning from texts have been proposed. Most of these proposals use natural language processing techniques. This paper describes a computational framework construction for semi-automated ontology learning from texts in Portuguese. Axioms are not treated in this paper. The work described here originated from the Philipp Cimiano’s proposal along with text standardization mechanisms, natural language processing, identification of taxonomic relations and techniques for structuring ontologies. In this work, a case study on public security domain was also done, showing the benefits of the developed computational framework. The result of this case study is an ontology for this area.