Ontology Learning of New Concepts combining Textural Knowledge and Visual Analysis for Service Robot Applications
Liliana Villamar Gómez, Jun Miura · 2021
This paper describes a method for the automatic learning of new ontological concepts oriented to service robot applications. We propose the combination of textural knowledge and visual analysis to determine the new concept's correct placement in the ontology structure. We aim to make the robot able to extend its ontological knowledge autonomously. We conducted experiments to analyze the applicability of the presented method for learning new concepts.