An Ontology-Enabled Service Discovery for Supporting Health Promotion System

Health promotion related products and services have grown rapidly in recent years, many devices and services were developed for this endeavor. Consequently, there is a need to represent fragmented functions into a general description and comparable shape in order to provide context-based matching and ranking, which is a substance of the whole services. A service discovery was introduced as a mechanism to support user in reducing the difficulties. There is also an approach to the problem of context matching and ranking of services towards resulted recommendation. This research introduced methods or mechanisms to address the issue of the semantic similarity assessment among services with the recommendation, such as TF/IDF and context analysis. Each service or application is represented by metadata designed by using ontology to allow modifiable and collaborative work in this field. Selection of the most suitable metadata definition language was also the issue covered by this work.