Managing the Provenance of Crowdsourced Disruption Reports

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
5 Downloads (Pure)

Abstract

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
Pages209-213
Number of pages5
Volume7525
ISBN (Electronic)978-3-642-34222-6
ISBN (Print)978-3-642-34221-9
DOIs
Publication statusPublished - Jun 2012

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume7525
ISSN (Print)0302-9743

Keywords

  • Provenance
  • Social Machines
  • Streams
  • Linked Data

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  • Cite this

    Markovic, M., Edwards, P., Corsar, D., & Pan, J. Z. (2012). Managing the Provenance of Crowdsourced Disruption Reports. In P. Groth, & J. Frew (Eds.), Provenance and Annotation of Data and Processes : 4th International Provenance and Annotation Workshop, IPAW 2012, Santa Barbara, CA, USA, June 19-21, 2012, Revised Selected Papers (Vol. 7525, pp. 209-213). (Lecture Notes in Computer Science ; Vol. 7525). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-642-34222-6_17