Towards Leveraging Semantic Web Service Technology for Personalized, Adaptive Automatic Ubiquitous Sensors Discovery in Context of the Internet of Things.

Semantic web service technology equipped with user-context and environment awareness can enhance the automatic discovery of services. This thesis focuses on the service discovery aspect of MERCURY, a platform for straightforward, user-centric integration and management of heterogeneous devices and services via a web-based interface. The service discovery is used to find appropriate sensors, services, or actuators to perform certain functionalities required within each user-defined scenario. In contrast to existing works, the proposed service discovery approach is geared towards non-IT-savvy end users and supports various service-description formalism. Moreover, the matchmaking algorithm should be user-aware and environmentally adaptive rather than depends entirely on text-based searches. Hence, the goal of this thesis is to develop a service discovery module on top of existing techniques, which shall serve user requests according to their personal interests, expertise and circumstances.