Authors: Navya Martin Kollapally, James Geller, Patricia Morreale, Daehan Kwak
Abstract: The use of computational ontologies is well-established in the field of
Medical Informatics. The topic of Social Determinants of Health (SDoH) has also
received extensive attention. Work at the intersection of ontologies and SDoH
has been published. However, a standardized framework for Social Determinants
of Education (SDoEd) is lacking. In this paper, we are closing the gap by
introducing an SDoEd ontology for creating a precise conceptualization of the
interplay between life circumstances of students and their possible educational
achievements. The ontology was developed utilizing suggestions from
ChatGPT-3.5-010422 and validated using peer-reviewed research articles. The
first version of developed ontology was evaluated by human experts in the field
of education and validated using standard ontology evaluation software. This
version of the SDoEd ontology contains 231 domain concepts, 10 object
properties, and 24 data properties
Source: http://arxiv.org/abs/2501.10300v1
