HIGHLIGHTS
- who: Ontology et al. from the Department of Computer Science, University of Vigo, ESEI, Escuela Superior de Ingeniería Informática, Edificio Politécnico, Campus Universitario As Lagoas s/n, Ourense, Spain have published the Article: Contents lists available at ScienceDirect, in the Journal: Data and Knowledge Engineering 133 (2021) 101889 of /2021/
- what: The authors propose a to assess ontologies quality (quantitatively and graphically) and to fix inconsistencies minimizing design defects. During the last years, many ontology generation tools and methods (also called ontology-learning methods) have been introduced with the main goal of . . .
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