Many interpretations of the notion of context have emerged in various fields and context-aware systems are pervading everyday life, becoming an expanding research field. Context has often a significant impact on the way humans (or machines) act, and on how they interpret things; furthermore, a change in context causes a transformation in the experience that is going to be lived. Accordingly, while the computer science community has initially perceived the context simply as a matter of user time and location, in the last few years this notion has been considered not simply as a state, but as part of a process in which users are involved; thus, sophisticated and general context models and systems have been proposed to support context-aware applications. In this paper we propose a foundational framework for the life-cycle of context-aware system, in which the system design and management activities consider context as an orthogonal, first-class citizen. In doing so, we present a Datalog-based formulation for the definition of context-aware databases. © 2011 Springer-Verlag.
CITATION STYLE
Orsi, G., & Tanca, L. (2011). Context modelling and context-aware querying: (Can datalog be of help?). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6702 LNCS, pp. 225–244). https://doi.org/10.1007/978-3-642-24206-9_13
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