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dc.contributor.convenorJadwiga Indulska, David De Roure
dc.contributor.authorJohnson, C.
dc.contributor.authorCarmichael, David
dc.contributor.authorKay, Judy
dc.contributor.authorKummerfeld, Bob
dc.contributor.authorHexel, Rene
dc.contributor.editorJadwiga Indulska, David De Roure
dc.date.accessioned2017-05-03T11:44:25Z
dc.date.available2017-05-03T11:44:25Z
dc.date.issued2004
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent190928 bytes
dc.format.extent143504 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglish
dc.language.isoeng
dc.publisherUbiComp (published online)
dc.publisher.placeNottingham, England
dc.publisher.urihttp://www.ubicomp.org/ubicomp2004/index.html
dc.relation.ispartof0
dc.relation.ispartofconferencenameFirst International Workshop on Advanced Context Modelling, Reasoning and Management, UbiComp 2004
dc.relation.ispartofconferencetitleFirst International Workshop on Advanced Context Modelling, Reasoning and Management, UbiComp 2004
dc.relation.ispartofdatefrom2004-09-07
dc.relation.ispartofdateto2004-09-07
dc.relation.ispartoflocationNottingham, England
dc.subject.fieldofresearchcode289999
dc.titleContext Evidence and Location Authority: the disciplined management of sensor data into context models
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 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.
gro.date.issued2004
gro.hasfulltextFull Text
gro.griffith.authorHexel, Rene


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    Contains papers delivered by Griffith authors at national and international conferences.

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