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Daniel Schall
Service-Oriented
Crowdsourcing
Architecture, Protocols and Algorithms
123
Daniel Schall
Siemens Corporate Technology
Vienna
Austria
ISSN 2191-5768
ISBN 978-1-4614-5955-2
DOI 10.1007/978-1-4614-5956-9
ISSN 2191-5776 (electronic)
ISBN 978-1-4614-5956-9 (eBook)
Springer New York Heidelberg Dordrecht London
Library of Congress Control Number: 2012950384
Ó
The Author(s) 2012
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Preface
Crowdsourcing has emerged as an important paradigm in human problem solving
techniques on the Web. More often than noticed, programs outsource tasks to
humans which are difficult to implement in software. Service-oriented crowd-
sourcing enhances these outsourcing techniques by applying the principles of
service-oriented architecture (SOA) to the discovery, composition, and selection of
a scalable human workforce. This book provides both an analysis of contemporary
crowdsourcing systems such as Amazon Mechanical Turk and a statistical
description of task-based marketplaces. In the following, a novel mixed service-
oriented computing paradigm is introduced by providing an architectural
description of the Human-Provided Services (HPS) framework and the application
of social principles to human coordination and delegation actions. Then, the
previously investigated concepts are extended to business process management
integration including the extension of XML-based industry standards such as
WS-HumanTask and BPEL4People and the instantiation of flexible processes in
crowdsourcing environments.
Vienna, August 2012
Daniel Schall
v
Acknowledgments
The work presented in this book provides a consolidated description of the
author’s research in the field of human computation and crowdsourcing techni-
ques. He started investigating crowdsourcing techniques in 2005 at Siemens
Corporate Research in Princeton, NJ, USA. In 2006, he started his doctoral
studies at the Vienna University of Technology (TU Wien) where he was
employed as a project manager and research assistant. At that time he was
involved in the EU FP6 project inContext (interaction and context-based tech-
nologies for collaborative teams) and defined a number of key principles such as
the notion of Human-Provided Services and algorithms for context-sensitive
expertise mining. In the following, the author worked as a Senior Research
Scientist also at TU Wien where he was the principle investigator of efforts
related to crowdsourcing techniques and mixed service-oriented systems. During
this time period he was involved in a number of projects including the EU FP7
projects collaboration and interoperability for networked enterprises (COIN) and
compliance-driven models, languages, and architectures for services (COMPAS).
During his time at TU Wien, he published more than 50 scientific publications in
highly ranked journals and renown magazines including the IEEE Transaction on
Services Computing, IEEE Computer, IEEE Internet Computing, Data and
Knowledge Engineering, Distributed and Parallel Databases, Social Network
Analysis and Mining, Information Systems, as well as numerous world class
conferences including the International Conference on Business Process Man-
agement, the International Conference on Services Computing, the International
Conference on Advanced Information Systems Engineering, the International
Conference on Social Informatics, the International Conference on Self-Adaptive
and Self-Organizing Systems, or the International Conference on Engineering of
Complex Computer Systems. The finalization of this book was carried out while the
author has already been with Siemens Corporate Technology—a research division
of the Siemens AG.
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