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Supporting valid-time indeterminacy
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Query processing using ontologies
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Context- and situation-awareness in information logistics
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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.