Sistematização semântico-ontológica computacional do vocabulário técnico da indústria de artefatos de borracha

Detalhes bibliográficos
Ano de defesa: 2012
Autor(a) principal: Batista, Abner Maicon Fortunato [UNESP]
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Estadual Paulista (Unesp)
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/11449/154732
http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/31-07-2017/000880622.pdf
Resumo: Ontologies have several applications on Natural Language Processing (NLP) such as machine translators and retrieval and extraction information systems. Ontologies are also the foundation of the so-called Semantic Web, a new concept of the Web that allows interoperability among resources, providing meaning to systems that operate with a large number of data on the Web. Gruber (1993) defines ontology as a formal specification of a conceptualization, i.e., a formal description of concepts and the relationships among these concepts in a given field of knowledge. In the case of a linguistic ontology, only lexicalized concepts in a natural language are approached. Thus, the structuring of a domain in a linguistic ontology focuses on a semantic-conceptual dimension. This research proposes the construction of a linguistically motivated ontology for the domain of Rubber Artifacts Industry (RAI), an area of great interest to industry and research in Brazil, but little explored with regard to the information resources that this industry demands. In order to structure knowledge of the field of RAI, establishing relationships among concepts, a Portuguese corpus was used for that domain from which the terms are extracted and analyzed. The analysis of the terms and their semantic relationships was based on the Generative Lexicon Theory by Pustejovsky (1995), mainly with the use of the Qualia Structure, which specifies four essential aspects of word meaning, namely, constitutive, formal, telic and agentive. Then, the conceptual model obtained was implemented in OWL (Ontology Web Language), a Semantic Web-oriented computer language. The results obtained from this research were a computational semanticontological systematization of the technical vocabulary of Rubber Artifacts Industry (including translations of technical terms in English and French) that can generate a number of useful ...