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Spatial awareness in pervasive ecosystems
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dc.contributor.author | Dobson, Simon Andrew | |
dc.contributor.author | Viroli, Mirko | |
dc.contributor.author | Fernandez-Marquez, Jose-Luis | |
dc.contributor.author | Zambonelli, Franco | |
dc.contributor.author | Stevenson, Graeme Turnbull | |
dc.contributor.author | di Marzo Serugendo, Giovanna | |
dc.contributor.author | Montagna, Sara | |
dc.contributor.author | Pianini, Danilo | |
dc.contributor.author | Ye, Juan | |
dc.contributor.author | Castelli, Gabriella | |
dc.contributor.author | Rosi, Alberto | |
dc.date.accessioned | 2017-06-07T23:32:58Z | |
dc.date.available | 2017-06-07T23:32:58Z | |
dc.date.issued | 2016-12-07 | |
dc.identifier.citation | Dobson , S A , Viroli , M , Fernandez-Marquez , J-L , Zambonelli , F , Stevenson , G T , di Marzo Serugendo , G , Montagna , S , Pianini , D , Ye , J , Castelli , G & Rosi , A 2016 , ' Spatial awareness in pervasive ecosystems ' , The Knowledge Engineering Review , vol. 31 , no. 4 , pp. 343-366 . https://doi.org/10.1017/S0269888916000199 | en |
dc.identifier.issn | 0269-8889 | |
dc.identifier.other | PURE: 203229174 | |
dc.identifier.other | PURE UUID: 01959071-5fc0-4412-863f-b89795a976a0 | |
dc.identifier.other | Scopus: 85002973358 | |
dc.identifier.other | WOS: 000390349800003 | |
dc.identifier.other | ORCID: /0000-0002-2838-6836/work/68280954 | |
dc.identifier.other | ORCID: /0000-0001-9633-2103/work/70234150 | |
dc.identifier.uri | https://hdl.handle.net/10023/10944 | |
dc.description.abstract | Pervasive systems are intended to make use of services and components that they encounter in their environment. Such systems are naturally spatial in that they can only be understood in terms of the ways in which components meet and interact in space. Rather than treating spatiality separately from system components, researchers are starting to develop computational models in which the entire structure of a pervasive system is modelled and constructed using an explicit spatial model, supporting multi-level spatial reasoning, and adapting autonomously to spatial interactions. In this paper we review current and emerging models of spatial computing for pervasive ecosystems, and highlight some of the trends that will guide future research. | |
dc.language.iso | eng | |
dc.relation.ispartof | The Knowledge Engineering Review | en |
dc.rights | © 2016, Cambridge University Press. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at www.cambridge.org / https://doi.org/10.1017/S0269888916000199 | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | NDAS | en |
dc.subject.lcc | QA75 | en |
dc.title | Spatial awareness in pervasive ecosystems | en |
dc.type | Journal article | en |
dc.contributor.sponsor | European Commission | en |
dc.description.version | Postprint | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | https://doi.org/10.1017/S0269888916000199 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2017-06-07 | |
dc.identifier.grantnumber | 256873 | en |
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