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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Gabriela del Rocío Roldán-Molina, Yevseyeva, I., Iryna Yevseyeva, Silvana Gómez-Meire, Vitor Basto-Fernandes & Méndez, José Ramón (2022). Automatic knowledge exchange between ontologies and semantic graphs. Journal of Information Science. N/A, 016555152211378
Exportar Referência (IEEE) 
G. D. Roldán-Molina et al.,  "Automatic knowledge exchange between ontologies and semantic graphs", in Journal of Information Science, vol. N/A, pp. 016555152211378, 2022
Exportar BibTeX 
@article{roldán-molina2022_1734976087648,
	author = "Gabriela del Rocío Roldán-Molina and Yevseyeva, I. and Iryna Yevseyeva and Silvana Gómez-Meire and Vitor Basto-Fernandes and Méndez, José Ramón",
	title = "Automatic knowledge exchange between ontologies and semantic graphs",
	journal = "Journal of Information Science",
	year = "2022",
	volume = "N/A",
	number = "",
	doi = "10.1177/01655515221137874",
	pages = "016555152211378",
	url = "https://journals.sagepub.com/doi/10.1177/01655515221137874"
}
Exportar RIS 
TY  - JOUR
TI  - Automatic knowledge exchange between ontologies and semantic graphs
T2  - Journal of Information Science
VL  - N/A
AU  - Gabriela del Rocío Roldán-Molina
AU  - Yevseyeva, I.
AU  - Iryna Yevseyeva
AU  - Silvana Gómez-Meire
AU  - Vitor Basto-Fernandes
AU  - Méndez, José Ramón
PY  - 2022
SP  - 016555152211378
SN  - 0165-5515
DO  - 10.1177/01655515221137874
UR  - https://journals.sagepub.com/doi/10.1177/01655515221137874
AB  - This article presents an innovative knowledge management approach for the validation and transfer of knowledge between semantic networks or ontologies and a target ontology represented in web ontology language (OWL) format. This process has been designed for addressing the quality improvement of ontologies automatically created by learning techniques. The knowledge transfer process is a semi-automatic computer aided method to assist the domain expert to improve the target ontology. To validate our proposal, we have used an automatically generated target ontology. We used knowledge transfer from the well-known Babelnet semantic graph and a manually generated ontology to improve the quality of the target ontology. Finally, to show the suitability of our proposal in the ontology-fixing process, we compare the improved target ontology resulting from the application of the proposed validation and knowledge transfer techniques with its original version. We developed an example of our proposal in our OntologyFixer tool, which is available on a GitHub repository.
ER  -