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Título: A semantic-relations taxonomy for knowledge representation.
Autor(es): Maia, Lucinéia Souza
Lima, Gercina Ângela de
Palavras-chave: Knowledge organization
Data do documento: 2021
Referência: MAIA, L. S.; LIMA, G. A. de. A semantic-relations taxonomy for knowledge representation. Brazilian Journal of Information Science, v. 15, 2021. Disponível em: <https://revistas.marilia.unesp.br/index.php/bjis/article/view/11942>. Acesso em: 29 abr. 2022.
Resumo: Concepts are units of knowledge and, the relationships link these units, which gives the meaning as represented. Semantic relations in knowledge representation characterizes the association between the concepts of a domain. In this way, semantic relations allow users to assimilate the association between concepts in a domain. These relationships are essential because they serve as a basis for representing and structuring a domain of knowledge. Thus, the studies on semantic relations have been accomplished by several researchers from different areas of knowledge, approaching a different point of view, which resulted in a terminological variation. The objective of this proposal of the taxonomy of semantic relations arose precisely to solve this problem. In this sense, exploratory research was carried out using the methodological procedure literature research following criteria that pointed out the most relevant approaches to types of semantic relations. As result, a taxonomy was arrived at of sixty-three semantic relations, including the new relationships found from this study, nicknamed here "subordinate agent”.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/15293
DOI: https://doi.org/10.36311/1981-1640.2021.v15.e02123
ISSN: 1981-1640
Licença: This is an open-access article distributed under the terms of the Creative Commons CC Attribution-ShareAlike (CC BY-SA), which permits use, distribution, and reproduction in any medium, under the identical terms, and provided the original author and source are credited. Fonte: o PDF do artigo.
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