Demand‐orientation is of crucial importance in mobile and pervasive information services in order to ensure the delivery of the right information at the right time and at the right place. In the past years, increasing attention has been devoted to the notion of personalized services that take the situation of the user into account. The trade‐off is to ensure appropriate information supply while preventing information overload. Comparing situations predicted by the system with the expectations of a user yields information about “so‐farunexpected” changes the user should be informed about. This paper describes an approach to identify and to resolve these knowledge discrepancies by informing the user about them in order to support his or her situation‐awareness. Our approach is illustrated in two applications.
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1 November 2005
Technical Paper|
November 01 2005
Resolving knowledge discrepancies in situation‐aware systems
Ulrich Meissen;
Ulrich Meissen
Fraunhofer Institute for Software and Systems Engineering, Mollstraβe 1, D‐10178 Berlin, Germany
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Stefan Pfennigschmidt;
Stefan Pfennigschmidt
Fraunhofer Institute for Software and Systems Engineering, Mollstraβe 1, D‐10178 Berlin, Germany
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Agnés Voisard;
Agnés Voisard
Fraunhofer Institute for Software and Systems Engineering, Mollstraβe 1, 10178 Berlin, Germany and Institute of Computer Science, Freie Universität Berlin, Takustraβe 9, D‐14195 Berlin, Germany
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Tjark Wahnfried
Tjark Wahnfried
Lufthansa Systems Berlin GmbH, Fritschestraβe 27‐28, D‐10585 Berlin, Germany
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Publisher: Emerald Publishing
Online ISSN: 1742-738X
Print ISSN: 1742-7371
© Emerald Group Publishing Limited
2005
International Journal of Pervasive Computing and Communications (2005) 1 (4): 327–336.
Citation
Meissen U, Pfennigschmidt S, Voisard A, Wahnfried T (2005), "Resolving knowledge discrepancies in situation‐aware systems". International Journal of Pervasive Computing and Communications, Vol. 1 No. 4 pp. 327–336, doi: https://doi.org/10.1108/17427370580000135
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