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Semantic web technologies in pervasive computing : a survey and research roadmap

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pervasive_semantic_web_survey_15.pdf (1.014Mb)
Date
10/2015
Author
Ye, Juan
Dasiopoulou, Stamatia
Stevenson, Graeme Turnbull
Meditskos, Georgios
Kontopoulos, Efstratios
Kompatsiaris, Ioannis
Dobson, Simon Andrew
Keywords
Ontologies
Pervasive computing
Streaming query
Uncertainty reasoning
Context awareness
QA75 Electronic computers. Computer science
T-NDAS
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Abstract
Pervasive and sensor-driven systems are by nature open and extensible, both in terms of input and tasks they are required to perform. Data streams coming from sensors are inherently noisy, imprecise and inaccurate, with differing sampling rates and complex correlations with each other. These characteristics pose a significant challenge for traditional approaches to storing, representing, exchanging, manipulating and programming with sensor data. Semantic Web technologies provide a uniform framework for capturing these properties. Offering powerful representation facilities and reasoning techniques, these technologies are rapidly gaining attention towards facing a range of issues such as data and knowledge modelling, querying, reasoning, service discovery, privacy and provenance. This article reviews the application of the Semantic Web to pervasive and sensor-driven systems with a focus on information modelling and reasoning along with streaming data and uncertainty handling. The strengths and weaknesses of current and projected approaches are analysed and a roadmap is derived for using the Semantic Web as a platform, on which open, standard-based, pervasive, adaptive and sensor-driven systems can be deployed.
Citation
Ye , J , Dasiopoulou , S , Stevenson , G T , Meditskos , G , Kontopoulos , E , Kompatsiaris , I & Dobson , S A 2015 , ' Semantic web technologies in pervasive computing : a survey and research roadmap ' , Pervasive and Mobile Computing , vol. 23 , pp. 1-25 . https://doi.org/10.1016/j.pmcj.2014.12.009
Publication
Pervasive and Mobile Computing
Status
Peer reviewed
DOI
https://doi.org/10.1016/j.pmcj.2014.12.009
ISSN
1574-1192
Type
Journal article
Rights
© 2014. Elsevier B.V. All rights reserved. This is the author’s version of a work that was accepted for publication in Pervasive and Mobile Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pervasive and Mobile Computing, 9 January 2015 DOI 10.1016/j.pmcj.2014.12.009
Description
This work has been supported by the EU FP7 projects SAPERE: Self-aware Pervasive Service Ecosystems under Contract No. 256873 and Dem@Care: Dementia Ambient Care — Multi-Sensing Monitoring for Intelligent Remote Management and Decision Support under Contract No. 288199.
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  • University of St Andrews Research
URL
http://www.sciencedirect.com/science/article/pii/S1574119214001989#
URI
http://hdl.handle.net/10023/6587

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