Context-Driven Information Demand Analysis in Information Logistics and Decision Support Practices

Magnus Lundqvist, Kurt Sandkuhl, Tatiana Levashova, and Alexander Smirnov

Decision making and knowledge intensive work requires information supply tailored to the need of the user in question. Context management is considered a key contribution to this objective. The paper investigates context definitions and representations from two different viewpoints: information demand analysis and decision support. Discussion and comparison of these viewpoints includes enterprise models as a source for information demand analysis, ontologies and object-oriented constraint networks as representation technique and correspondences between information demand context and context in decision support.


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