Managing the Provenance of Crowdsourced Disruption Reports

Milan Markovic, Pete Edwards, David Corsar, Jeff Z Pan

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)
10 Downloads (Pure)


Human computation systems that outsource tasks to the crowd often have to address issues associated with the quality of contributions. We are exploring the potential role of provenance to facilitate processes such as quality assessment within such systems. In this demo we present an application for managing traffic disruption reports generated by the crowd, and outline the technologies used to integrate provenance, linked data, and streams.
Original languageEnglish
Title of host publicationProvenance and Annotation of Data and Processes
Subtitle of host publication4th International Provenance and Annotation Workshop, IPAW 2012, Santa Barbara, CA, USA, June 19-21, 2012, Revised Selected Papers
EditorsPaul Groth, James Frew
PublisherSpringer Berlin / Heidelberg
Number of pages5
ISBN (Electronic)978-3-642-34222-6
ISBN (Print)978-3-642-34221-9
Publication statusPublished - Jun 2012

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
ISSN (Print)0302-9743

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  • Provenance
  • Social Machines
  • Streams
  • Linked Data


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