Pompilos onto: An ontology for detecting the spreading of happiness, obesity and smoking in social networks

摘要

According to World Health Organization, non-communicable diseases were responsible for 68% of global deaths in 2012. The care of this type of disease goes beyond the patient's engagement since their relatives, friends and acquaintances, also influence in their treatment. Ontologies can map the relationships between patients and their environment, thus representing a formal description from concepts of a domain, and then answering questions formulated for this domain. This paper presents an ontology for detect the spreading of happiness, obesity and smoking on social networks. This ontology was built and validated following the GrUniger and Fox's Methodology, and proved feasible for use in applications that need to evaluate the influence between nodes of a social network and to recommend new beneficial contacts to their users.