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dc.contributor.authorLi, Y.
dc.contributor.authorFeng, L.
dc.contributor.authorDillon, Tharam
dc.date.accessioned2017-01-30T13:48:07Z
dc.date.available2017-01-30T13:48:07Z
dc.date.created2012-02-14T20:00:36Z
dc.date.issued2011
dc.identifier.citationLi, Yuanping and Feng, Ling and Dillon, Tharam. 2011. QACA: Quality assured context acquisition in context-aware computing. Journal of Convergence Information Technology. 6 (1): pp. 94-107.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/35176
dc.description.abstract

Previous research work in context quality primarily focuses on identifying and modeling it. However, assuring context quality is no less challenging than modeling it. Difficulties lie in acquiring high-quality context from the context providers whose quality and availability can not be guaranteed. In this paper, we propose a context quality assurance strategy QACA based on the least square error, by leveraging the redundancy of context providers. In this strategy, redundant imprecise and unstable context providers are used to constitute a more precise and stable context provision. Such a strategy provides a theoretical basis to implement a specification based context acquisition middleware.

dc.publisherAICIT
dc.subjectcontext quality
dc.subjectcontext acquisition
dc.subjectuncertain context
dc.titleQACA: Quality assured context acquisition in context-aware computing
dc.typeJournal Article
dcterms.source.volume6
dcterms.source.number1
dcterms.source.startPage94
dcterms.source.endPage107
dcterms.source.issn19759320
dcterms.source.titleJournal of Convergence Information Technology
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available


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