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dc.contributor.convenorJadwiga Indulska, David De Roureen_AU
dc.contributor.authorJohnson, C.en_US
dc.contributor.authorCarmichael, Daviden_US
dc.contributor.authorKay, Judyen_US
dc.contributor.authorKummerfeld, Boben_US
dc.contributor.authorHexel, Reneen_US
dc.contributor.editorJadwiga Indulska, David De Roureen_US
dc.date.accessioned2017-04-24T08:39:31Z
dc.date.available2017-04-24T08:39:31Z
dc.date.issued2004en_US
dc.date.modified2008-02-14T07:14:04Z
dc.identifier.urihttp://hdl.handle.net/10072/2189
dc.description.abstractUbiquitous computing requires that data be handled across a very wide range of data rates and weights of associated meaning. A suitable system architecture is layered from event data through simple sensors, smart sensors, and smart environment agents. Upward through these layers the issues for representation and management of the data shift from the distribution and fast, bulk storage of very frequent simple data, to relatively infrequent logical deductions made against relatively complex models. The lower layers of systems for event data will be reused in different applications. In addition, abstract models of location may have a lot in common between different applications, which a common Location Authority can represent as a common model of the physical environment that changes only slowly (through manual administrative maintenance). On the other hand models of the devices and sensors within locations, and the moving population of people, are far more dynamic, require automatic updating, and different applications choose quite different attributes and relationships to model. We describe how the Merino/Personis architecture for an Intelligent Environment context supports the changes of representation of knowledge across this range and the different programming styles suited to the different levels.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent190928 bytes
dc.format.extent143504 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherUbiComp (published online)en_US
dc.publisher.placeNottingham, Englanden_US
dc.publisher.urihttp://www.ubicomp.org/ubicomp2004/index.htmlen_AU
dc.relation.ispartof0en_AU
dc.relation.ispartofconferencenameFirst International Workshop on Advanced Context Modelling, Reasoning and Management, UbiComp 2004en_US
dc.relation.ispartofconferencetitleFirst International Workshop on Advanced Context Modelling, Reasoning and Management, UbiComp 2004en_US
dc.relation.ispartofdatefrom2004-09-07en_US
dc.relation.ispartofdateto2004-09-07en_US
dc.relation.ispartoflocationNottingham, Englanden_US
dc.subject.fieldofresearchcode289999en_US
dc.titleContext Evidence and Location Authority: the disciplined management of sensor data into context modelsen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright remains with the author's 2004. For information about this conference please refer to the publisher's website or contact the author's. The attached file is posted here with permission of the copyright owners for your personal use only. No further distribution permitted.en_AU
gro.date.issued2004
gro.hasfulltextFull Text


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