2003
DOI: 10.1007/978-3-540-39718-2_55
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Task Computing – The Semantic Web Meets Pervasive Computing

Abstract: Abstract. Non-expert users have to accomplish non-trivial tasks in application and device-rich computing environments. The increasing complexity of such environments is detrimental to user productivity (and occasionally, sanity). We propose to reduce these difficulties by shifting focus to what users want to do (i.e., on the tasks at hand) rather than on the specific means for doing those tasks. We call this shift in focus "task computing"; we argue that "task computing" offers an incentive to device manufactu… Show more

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Cited by 98 publications
(61 citation statements)
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References 5 publications
(8 reference statements)
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“…Much of the work on semantic web services has focused on the upper levels of the expressivity. In common with other authors [9], we have found that "being light-weight and flexible trumps other features". We believe that our XML and RDF(S) based architecture fulfils most of the requirements of the bioinformatics domain while retaining the simplicity, which enables us to adapt service discovery to the specific nature of bioinformatics.…”
supporting
confidence: 91%
“…Much of the work on semantic web services has focused on the upper levels of the expressivity. In common with other authors [9], we have found that "being light-weight and flexible trumps other features". We believe that our XML and RDF(S) based architecture fulfils most of the requirements of the bioinformatics domain while retaining the simplicity, which enables us to adapt service discovery to the specific nature of bioinformatics.…”
supporting
confidence: 91%
“…Specifically, ontologies have been used during discovery to express the capabilities of services, as well as the requests for capabilities; in this case, the proof theory recognizes whether a given capability fits a given request. A number of semantic middleware technologies provide this ability, e.g., the Task Computing project [13], and the Integrated Global Pervasive Computing Framework [14]. One important solution, EASY [15], implements efficient, semantic discovery and matching to foster interoperability in pervasive networking environments.…”
Section: Response From the Semantic Web Communitymentioning
confidence: 99%
“…It contains service model. We defined "Task" as a service granularity [15]. Task has IOPE (Input, Output, Precondition, Effect) [9] to register and discover service semantically.…”
Section: Service Ontology Modelingmentioning
confidence: 99%