A System for Specifying Semantic Relations for Knowledge Representation

dc.contributor.authorMaia, Lucinéia Souza. Lima, Gercina Ângela de.
dc.date.accessioned2026-01-15T21:31:45Z
dc.date.issued2020
dc.description.abstractSemantic relations are fundamental for understanding the nature of the connection between two concepts in a domain. This paper presents a model for extracting semantic relations for the representation of knowledge from academic documents in the context of the Portuguese language. A Web information system called Se- mantizar was developed to support the extraction of semantic relations from classificatory structures that rep- resent specific academic documents. To evaluate the qualitative performance of Semantizar, a case study was carried out, which pointed to important contributions to research about semantic relations extraction. Accord- ing to outcomes, when two concepts of a classificatory structure exist in a sentence, a semantic relationship between them can actually exist. Finally, it is concluded that this research is relevant because it brings im- portant findings for the extraction of semantic relations for the knowledge representation of academic docu- ments to be applied in the Brazilian scenario.
dc.identifier.urihttps://ceprecri-ds.eci.ufmg.br/handle/123456789/100
dc.language.isoen
dc.publisherErgon - ein Verlag in der Nomos Verlagsgesellschaft
dc.titleA System for Specifying Semantic Relations for Knowledge Representation
dc.typeArticle

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