Abstract
Robust and scalable user context management is the key enabler for
the emerging context- and situation-aware applications, and ontology-based
approaches have shown their usefulness for capturing especially
context information on a high level of abstraction. But so far the
problem has not been approached as a data management problem, which
is key to scalability and robustness. The specific challenges lie
in the imperfection of high-level context information, its time-dependence
and the variability in the dynamics between its different elements.
The approach presented in this paper presents a layered data model
which structures the problems and is geared towards flexible and
efficient query processing in combination of relational database
and logic-based techniques. The techniques have been successfully
applied for context-aware corporate learning support.
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