Deducting Lifestyle Patterns by Ontologies' SWRL Rules

Abstract

The volume of biomedical spatial information available on line increases day by day, which need to be exploited and shared by users in different knowledge areas. NCDs kill 36 million people each year and considering the seriousness of the problem globally, there are already underway government strategies to reduce risk factors and early detection and timely treatment. In this article, it's discussed the problem of the NCDs using Semantic Web tools. The proposed system consists of six ontologies which formalize concepts related to people, physical activity, NCDs, nutrition, geographic regions and symptoms. Furthermore, the system will facilitate the integration of data from different domains by using SWRL rules for decision making about lifestyle transformation.