ABSTRACT
This chapter discusses the developments of sensors, context models and extensible mark-up language to web ontology language mappings. It presents adopted context model and examines design considerations and knowledge generation by reasoning in relation to the model. The chapter introduces the data extraction and the data mapping methodology, which are applied to an example. A well-defined data model helps with aspects of processing and storing data more effectively, and this holds for a context-aware system. Context modelling specifies the context-related entities and relationship and the constraints between each other. A context model provides the structure and methods to process the context data, which can be saved for later use. Context is quite wide ranging and includes a user profile information, the user’s location or planned activities, but generally it is quite varied. The exchanged data enrich the information available about user activities and hence will allow for more effective context-aware systems.
