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LEADER: 02684nam a22004095a 4500
001 013402528-8
005 20121210190137.0
008 121029s2012 xxu| s ||0| 0|eng d
020 $a9781461459569$99781461459569 (ebk.)
020 $a9781461459569
024 7 $a10.1007/978-1-4614-5956-9$2doi
035 $a(Springer)9781461459569
040 $aSpringer
050 4 $aQA75.5-76.95
072 7 $aUNH$2bicssc
072 7 $aUND$2bicssc
072 7 $aCOM030000$2bisacsh
082 04 $a025.04$223
100 1 $aSchall, Daniel.
245 10 $aService-Oriented Crowdsourcing :$bArchitecture, Protocols and Algorithms /$cby Daniel Schall.
260 $aNew York, NY :$bSpringer New York :$bImprint: Springer,$c2012.
300 $aXI, 94 p. 30 illus.$bdigital.
490 0 $aSpringerBriefs in Computer Science,$x2191-5768
505 0 $aIntroduction -- Crowdsourcing Task Marketplaces -- Human-Provided Services -- Crowdsourcing Tasks in BPEL4People -- Conclusion.
520 $aAt a fundamental level, service-oriented crowdsourcing applies the principles of service-oriented architecture (SOA) to the discovery, composition and selection of a scalable human workforce. Service-Oriented Crowdsourcing: Architecture, Protocols and Algorithms provides both an analysis of contemporary crowdsourcing systems, such as Amazon Mechanical Turk, and a statistical description of task-based marketplaces. The book also introduces a novel mixed service-oriented computing paradigm by providing an architectural description of the Human-Provided Services (HPS) framework and the application of social principles to human coordination and delegation actions. Finally, it examines previously investigated concepts and applies them to business process management integration, including the extension of XML-based industry standards and the instantiation of flexible processes in crowdsourcing environments. Service-Oriented Crowdsourcing is intended for researchers and other academics as an in-depth guide to developing new applications based on crowdsourcing platforms and evaluating various selection and ranking algorithms. Practitioners and other industry professionals will also find this book invaluable.
650 24 $aInformation Systems Applications (incl. Internet)
650 20 $aInformation retrieval.
650 20 $aInformation organization.
650 10 $aComputer science.
650 0 $aComputer science.
650 0 $aData mining.
650 0 $aInformation storage and retrieval systems.
650 24 $aData Mining and Knowledge Discovery.
776 08 $iPrinted edition:$z9781461459552
830 0 $aSpringerBriefs in computer science.
988 $a20121102
906 $0VEN