SABENÇA - um arcabouço computacional baseado na aprendizagem de ontologias a partir de textos
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Data
2015-04-22
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Universidade Federal de Goiás
Resumo
The research on ontology learning has been carried out in various areas of knowledge.
Semi-automatic or automatic extraction of ontologies would assist in the acceleration of
knowledge structuring of multiple domains. Semi-automatic approaches to ontology learning
from texts are proposed in several scientific papers, mostly with the support of
natural language processing techniques. This paper describes the construction of a computational
framework for semi-automated ontology learning from texts in the Portuguese
language. Axioms are not dealt with in this paper. The work done here originated from
the proposal of Philipp Cimiano [18], along with mechanisms for standardization of texts,
Natural Language Processing, identification of taxonomic relationships and structure of
ontologies. This research resulted in the development of a set of classes concrete and a set
of abstract classes that comprise a computational framework. In this work we also present
a case study in the field public safety, proving the benefits of computational framework.
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GUIMARÃES, N. C. SABENÇA - um arcabouço computacional baseado na aprendizagem de ontologias a partir de textos. 2015. 106 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2015.