Ontology-Driven Information System Design for Women's Reproductive Health Education: Addressing

Abstract

The widespread use of information systems has permeated healthcare, with telemedicine offering solutions for remote areas. This study aims to address knowledge gaps in women's reproductive health (RH) within the South-West region of Nigeria. A mixed-methods approach was employed to assess current knowledge levels and identify areas needing improvement. The first phase involved data acquisition through surveys targeting women of reproductive age (15-49 years) in the region. Statistical analysis was used to evaluate their understanding of key domains like menstrual cycles, family planning, and sexually transmitted infections (STIs). The second phase focused on designing an ontology-driven information system using the Protégé platform and Web Ontology Language (OWL). This system will cater to the identified knowledge gaps by providing readily accessible, accurate content based on user-defined queries. The proposed approach empowers women with the knowledge necessary to make informed decisions about their reproductive health, ultimately contributing to a healthier society.