Reasoning on Data Streams: An Approach to Adaptation in Pervasive Systems

Nicola Bicocchi; Emil Vassev; Franco Zambonelli; Mike Hinchey

Nature of Computation and Communication. International Conference, ICTCC 2014, Ho Chi Minh City, Vietnam, November 24-25, 2014, Revised Selected Papers

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

Nicola Bicocchi¹^,*, Emil Vassev²^,*, Franco Zambonelli¹^,*, Mike Hinchey²^,*

1: Universita di Modena e Reggio Emilia
2: University of Limerick

*Contact email: nicola.bicocchi@unimore.it, emil.vassev@lero.ie, franco.zambonelli@unimore.it, mike.hinchey@lero.ie

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.

Published: 2015-02-05
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-15392-6_3