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. NCD 1 kill 38 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 NCD using Semantic Web tools. The proposed system uses six ontologies which formalize concepts related to people, physical activity, the NCD, nutrition, geographic regions and symptoms to give information about lifestyle patterns. SWRL 2 rules are used to define accurate axioms which allow improving classification of the individuals.
['María J. Somodevilla', 'Ismael Mena', 'Ivo H. Pineda', 'Concepción Pérez de Celis']
Discovering Semantic Relationships between NCD and Lifestyle Patterns using Ontologies