Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/62366
Type: Artigo de Periódico
Title: A semantic-relations taxonomy for knowledge representation
Authors: Lucinéia Souza Maia
Gercina Ângela de Lima
Abstract: 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”.
Subject: Ciência da Informação
Web semântica
Representação do conhecimento (Sistemas especialistas)
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: ECI - DEPARTAMENTO DE ORGANIZAÇÃO E TRATAMENTO DA INFORMAÇÃO
ECI - ESCOLA DE CIENCIA DA INFORMAÇÃO
Rights: Acesso Aberto
metadata.dc.identifier.doi: https://doi.org/10.36311/1981-1640.2021.v15.e02123
URI: http://hdl.handle.net/1843/62366
Issue Date: 2021
metadata.dc.url.externa: https://revistas.marilia.unesp.br/index.php/bjis/article/view/11942
metadata.dc.relation.ispartof: Brazilian Journal of Information Science: Research Trends
Appears in Collections:Artigo de Periódico

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