The aim of the project is to deliver an ambient data management solution towards ambient intelligence. A P2P based multimedia database infrastructure will be built up to support personalized and context-aware database access in a highly distributed, mobile, heterogeneous and ad-hoc organized environment. With such a framework, future ambient intelligent applications can be easily constructed, similar to the way relational database technology has eased the development of traditional business applications. One particular issue to be addressed in this project is "Semantic Frontend", which aims at advancing the state-of-the-art in (semi-)automatic semantic schema integration and context-based querying using semantic web and ontology technologies. Under this project, two sub-projects are defined.
- Rule-based schema integration: This subproject mainly focuses on the design and realization of a schema mapping language and corresponding system for XML. A starting point for the subproject is the source of possibly suitable techniques from the area of view definition and materialization. It should be investigated if and how these techniques can be adapted to the XML-context. In a later phase, we investigate if and how other technologies, like semantic web and ontology, can be used for generating appropriate mapping rules for XML. As a starting point, we will investigate how the various forms of context (e.g., location and time) can guide and simplify the task of generating schema mapping rules.