Service-Oriented Crowdsourcing

Architecture, Protocols and Algorithms

  • Daniel┬áSchall

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Daniel Schall
    Pages 1-5
  3. Daniel Schall
    Pages 7-30
  4. Daniel Schall
    Pages 31-58
  5. Daniel Schall
    Pages 59-92
  6. Daniel Schall
    Pages 93-94

About this book


At 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.


broker discovery clustering crowdsourcing expertise ranking task segmentation

Authors and affiliations

  • Daniel┬áSchall
    • 1
  1. 1.Siemens Corporate TechnologyViennaAustria

Bibliographic information

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