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dc.contributor.authorDillon, Tharam S.
dc.contributor.authorTalevski, Alex
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.authorChang, Elizabeth
dc.contributor.editorDaqing Zhang
dc.contributor.editorMarius Portmann
dc.contributor.editorAh-Hwee Tan
dc.contributor.editorJadwiga Indulska
dc.date.accessioned2017-01-30T13:25:38Z
dc.date.available2017-01-30T13:25:38Z
dc.date.created2010-03-31T20:02:38Z
dc.date.issued2009
dc.identifier.citationDillon, Tharam S. and Talevski, Alex and Potdar, Vidyasagar and Chang, Elizabeth. 2009. Web of things as a framework for ubiquitous intelligence and computing, in Daqing Zhang, Marius Portmann, Ah-Hwee Tan and Jadwiga Indulska (ed), Ubiquitous intelligence and computing. pp. 2-13. Heidelberg: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/31475
dc.identifier.doi10.1007/978-3-642-02830-4_2
dc.description.abstract

In the last few years the web has evolved from just being a source of information to a platform for business applications. In parallel to this, wireless sensor network technologies have evolved to a stage where they are capable of connecting to the web. This amalgamation of technologies referred to as 'Web of Things', has created new opportunities for intelligent application development. However, the "Web of Things" has brought interesting challenges like - efficiently utilizing online sensors, sensor composition for just in time application development and others that require urgent attention. In this paper, we propose a conceptual framework and reference architecture for embedding the notions of Ubiquitous Intelligence and Computing within the 'Web of Things' and empowering their use in a broader context.

dc.publisherSpringer
dc.titleWeb of things as a framework for ubiquitous intelligence and computing
dc.typeBook Chapter
dcterms.source.startPage2
dcterms.source.endPage13
dcterms.source.titleUbiquitous intelligence and computing
dcterms.source.isbn978-3-642-02829-8
dcterms.source.placeHeidelberg
dcterms.source.chapter29
curtin.note

The original publication is available at : http://www.springerlink.com

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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