Building OWL ontology for obesity related cancer

Abstract

Cancer is a term used for a disease in which abnormal cells divide without control and are able to invade other tissues. Obesity is an overnutrition disease that is associated with increased risks of many types of cancers. The knowledge of this medical domain is highly required to be represented with its concepts, properties and types of association using ontologies to provide the biomedical community with consistent, reusable and sustainable descriptions of human obesity related cancer terms. In this paper, we propose building Obesity Related Cancer (ORC) Ontology involving diseases, symptoms, diagnosis, and treatment, using the latest standard Web Ontology language (OWL 2). The diseases hierarchy and terms are defined upon the standard Disease Ontology (DO). By developing (ORC) Ontology, both intelligent systems and physicians can benefit from it in knowledge sharing, reasoning and reusing in different ways.