Semantic Selection of Healthcare Apps

The paper proposes a computational model, based on SWRL enabled OWL ontologies, in order to create software tools, which will choose the most suitable healthcare Apps for specific requirements. The tool will take into account specific evaluation criteria for the semantic selection of healthcare Apps, which will be based on functionality of Apps, preferences of the Apps' users and the technology required to run the Apps. We call our selection "semantic" for two reasons: a) we must understand the semantic of the environment where the selection happens before we choose an App and b) we will perform reasoning in order to make a decision on the most suitable healthcare App. Our computational model has been tested in various environments and proved that it can dynamically select Apps according to the semantic found in the Apps evaluation criteria.