A System for Specifying Semantic Relations for Knowledge Representation
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Ergon - ein Verlag in der Nomos Verlagsgesellschaft
Abstract
Semantic 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.
