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Human-Provided Services

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Book cover Service-Oriented Crowdsourcing

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

Abstract

In this chapter, we discuss collaboration scenarios where people define services based on their dynamically changing skills and expertise by using Human-Provided Services. This approach is motivated by the need to support novel service-oriented applications in emerging crowdsourcing environments. In such open and dynamic environments, user participation is often driven by intrinsic incentives and actors properties such as reputation. We present a framework enabling users to define personal services to cope with complex interactions. We focus on the discovery and provisioning of human expertise in service-oriented environments.

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Notes

  1. 1.

    http://www.mturk.com/

  2. 2.

    http://answers.yahoo.com/

  3. 3.

    http://tools.ietf.org/html/rfc5023

  4. 4.

    http://tools.ietf.org/html/rfc4287

  5. 5.

    http://xmlns.com/foaf/spec/

  6. 6.

    The probabilistic interpretation of PageRank is known as the random surfer model [21].

  7. 7.

    In large social networks (for example network size \(>10000\) nodes), it may take up to several hours to compute PageRank importance scores.

  8. 8.

    http://aws.amazon.com/ec2/

  9. 9.

    Performance of the offline mining procedure as discussed previously is not shown here.

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Authors and Affiliations

  1. Siemens Corporate Technology, Siemensstrasse 90, 1211, Vienna, Austria

    Daniel Schall

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  1. Daniel Schall
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Correspondence to Daniel Schall .

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Schall, D. (2012). Human-Provided Services. In: Service-Oriented Crowdsourcing. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5956-9_3

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  • DOI: https://doi.org/10.1007/978-1-4614-5956-9_3

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-5955-2

  • Online ISBN: 978-1-4614-5956-9

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