Automatic knowledge exchange between ontologies and semantic graphs

Abstract

This paper presents an innovative knowledge management approach for the validation and transfer of knowledge between semantic networks or ontologies and a target ontology represented in 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).

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords

Ontology, Semantic Graph, Automatic Knowledge Exchange, Ontology Fixing, Ontology Quality

Citation

Roldán-Molina, G. del R., Yevseyeva, I., Gómez-Meire, S., Basto-Fernandes, V. and Méndez, J. R. (2022) Automatic knowledge exchange between ontologies and semantic graphs. Journal of Information Science,

Rights

Research Institute

Cyber Technology Institute (CTI)