文章基本信息

标题：A Semantic-Relations Taxonomy for Knowledge Representation
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作者：Lucinéia Souza Maia ; Gercina Ângela de Lima
期刊名称：Brazilian Journal of Information Science
印刷版ISSN：1981-1640
电子版ISSN：1981-1640
出版年度：2021
卷号：15
DOI：10.36311/1981-1640.2021.v15.e02123
语种：English
出版社：Universidade Estadual Paulista
摘要：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”.
关键词：Relações Semânticas; Representação do Conhecimento; Organização do Conhecimento; Taxonomia das relações semânticas