Context fusion through imprecise reasoning

Sekkas, O., Anagnostopoulos, C. and Hadjiefthymiades, S. (2007) Context fusion through imprecise reasoning. In: IEEE International Conference on Pervasive Services, Istanbul, Turkey, 15-20 Jul 2007, pp. 88-91. (doi:10.1109/PERSER.2007.4283896)

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Publisher's URL: http://dx.doi.org/10.1109/PERSER.2007.4283896

Abstract

Pervasive computing is an emerging computing paradigm that provides intelligent context-aware applications. Such applications handle contextual information in order to determine the current user's situation. Contextual information is typically inaccurate (e.g., noise of sensor readings). A novel context fusion engine* that models, determines and reasons about the current user's situation is proposed. This engine, based on dynamic Bayesian networks and fuzzy logic, deals with the reliability of sources and approximate contextual reasoning.

Item Type:Conference Proceedings
Additional Information:ISBN 1424413257
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos
Authors: Sekkas, O., Anagnostopoulos, C., and Hadjiefthymiades, S.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science

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