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Crowdsourcing ontology engineering. Elena Simperl Web and Internet Science, University of Southampton 11 April 2013. Overview. "online, distributed problem-solving and production model“ [ Brabham , 2008]

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Crowdsourcing ontology engineering

Crowdsourcing ontology engineering

Elena Simperl

Web and Internet Science, University of Southampton 11 April 2013


Overview
Overview

  • "online, distributed problem-solving and production model“ [Brabham, 2008]

  • Varieties: wisdom of the crowds/collective intelligence, open innovation, human computation...

  • Why is it a good idea?

    • Cost and efficiency savings

    • Wider acceptance, closer to user needs, diversity

  • Approaches

    • Collaborative ontology engineering

    • Challenges/competitions

    • Games with a purpose

    • Microtask/paid crowdsourcing

  • In combination with automatic techniques


Crowdsourcing ontology alignment
Crowdsourcing ontology alignment

  • Experiments usingMTurk, CrowdFlowerandestablishedbenchmarks

  • Enhancingtheresultsofautomatictechniques

  • Fast, accurate, cost-effective

    [Sarasua, Simperl, Noy, ISWC2012]


Open questions
Open questions

  • Quality assurance and evaluation

  • Incentives and motivators

  • Choice of crowdsourcing approach and combinations of different approaches

  • Reusable collection of algorithms for quality assurance, task assignment, workflow management, results consolidation etc

  • Schemas recording provenance of crowdsourced data

  • Descriptive framework for classification of human computation systems

    • Typesoftasksandtheirmodeofexecution

    • Participantsandtheirroles

    • Interaction withsystemandamongparticipants

    • Validation ofresults

    • Consolidationandaggregationofinputsintocompletesolution


Theory and practice of social machines www sociam org

Theory and practice of social machineswww.sociam.org

http://sociam.org/www2013/