Research Article
Reasoning on Data Streams: An Approach to Adaptation in Pervasive Systems
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@INPROCEEDINGS{10.1007/978-3-319-15392-6_3, author={Nicola Bicocchi and Emil Vassev and Franco Zambonelli and Mike Hinchey}, title={Reasoning on Data Streams: An Approach to Adaptation in Pervasive Systems}, proceedings={Nature of Computation and Communication. International Conference, ICTCC 2014, Ho Chi Minh City, Vietnam, November 24-25, 2014, Revised Selected Papers}, proceedings_a={ICTCC}, year={2015}, month={2}, keywords={}, doi={10.1007/978-3-319-15392-6_3} }- Nicola Bicocchi
Emil Vassev
Franco Zambonelli
Mike Hinchey
Year: 2015
Reasoning on Data Streams: An Approach to Adaptation in Pervasive Systems
ICTCC
ICST
DOI: 10.1007/978-3-319-15392-6_3
Abstract
Urban environments are increasingly invaded by devices that acquire sensor information and pave the way for innovative forms of context awareness. Collecting knowledge from loosely-structured data streams and reasoning about changes are two key elements of the process. This paper illustrates a possible way to combine these two elements in a coordinated way. We make use of a recently-developed framework for classifying data streams with service-oriented, reconfigurable components. Furthermore, we embed the KnowLang Reasoner, allowing logical and statistical reasoning on the acquired knowledge aiming to achieve self-adaptation.
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