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Export Reference (APA)
del Rocío Roldán-Molina, G., Yevseyeva, I., Gómez-Meire, S., Basto-Fernandes, V. & Ramón Méndez, J. (2022). Automatic knowledge exchange between ontologies and semantic graphs. Journal of Information Science. 51 (2), 310-323
Export Reference (IEEE)
G. D. Roldán-Molina et al.,  "Automatic knowledge exchange between ontologies and semantic graphs", in Journal of Information Science, vol. 51, no. 2, pp. 310-323, 2022
Export BibTeX
@article{roldán-molina2022_1764943883933,
	author = "del Rocío Roldán-Molina, G. and Yevseyeva, I. and Gómez-Meire, S. and Basto-Fernandes, V. and Ramón Méndez, J.",
	title = "Automatic knowledge exchange between ontologies and semantic graphs",
	journal = "Journal of Information Science",
	year = "2022",
	volume = "51",
	number = "2",
	doi = "10.1177/01655515221137874",
	pages = "310-323",
	url = "https://journals.sagepub.com/home/JIS"
}
Export RIS
TY  - JOUR
TI  - Automatic knowledge exchange between ontologies and semantic graphs
T2  - Journal of Information Science
VL  - 51
IS  - 2
AU  - del Rocío Roldán-Molina, G.
AU  - Yevseyeva, I.
AU  - Gómez-Meire, S.
AU  - Basto-Fernandes, V.
AU  - Ramón Méndez, J.
PY  - 2022
SP  - 310-323
SN  - 0165-5515
DO  - 10.1177/01655515221137874
UR  - https://journals.sagepub.com/home/JIS
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 (https://github.com/gabyluna/OntologyFixer/tree/ontofixer_v2).
ER  -