A System for Specifying Semantic Relations for Knowledge Representation
| dc.contributor.author | Maia, Lucinéia Souza. Lima, Gercina Ângela de. | |
| dc.date.accessioned | 2026-01-15T21:31:45Z | |
| dc.date.issued | 2020 | |
| dc.description.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. | |
| dc.identifier.uri | https://ceprecri-ds.eci.ufmg.br/handle/123456789/100 | |
| dc.language.iso | en | |
| dc.publisher | Ergon - ein Verlag in der Nomos Verlagsgesellschaft | |
| dc.title | A System for Specifying Semantic Relations for Knowledge Representation | |
| dc.type | Article |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- 2020_A System for Specifying Semantic Relations for Knowledge Representation..pdf
- Size:
- 423.18 KB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed to upon submission
- Description:
