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dc.contributor.authorYe, Juan
dc.contributor.authorDasiopoulou, Stamatia
dc.contributor.authorStevenson, Graeme Turnbull
dc.contributor.authorMeditskos, Georgios
dc.contributor.authorKontopoulos, Efstratios
dc.contributor.authorKompatsiaris, Ioannis
dc.contributor.authorDobson, Simon Andrew
dc.date.accessioned2015-04-28T14:31:01Z
dc.date.available2015-04-28T14:31:01Z
dc.date.issued2015-10
dc.identifier.citationYe , 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.2014.12.009en
dc.identifier.issn1574-1192
dc.identifier.otherPURE: 162713432
dc.identifier.otherPURE UUID: 75c01baa-acc3-4b28-89bd-3da3476dfda1
dc.identifier.otherScopus: 84948579633
dc.identifier.urihttp://hdl.handle.net/10023/6587
dc.descriptionThis 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.en
dc.description.abstractPervasive 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.
dc.format.extent25
dc.language.isoeng
dc.relation.ispartofPervasive and Mobile Computingen
dc.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.2014.12.009en
dc.subjectOntologiesen
dc.subjectPervasive computingen
dc.subjectStreaming queryen
dc.subjectUncertainty reasoningen
dc.subjectContext awarenessen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.titleSemantic web technologies in pervasive computing : a survey and research roadmapen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1016/j.pmcj.2014.12.009
dc.description.statusPeer revieweden
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S1574119214001989#en


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