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.
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The research described here is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1.
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Markovic, M., Edwards, P., Corsar, D., Pan, J.Z. (2012). DEMO: Managing the Provenance of Crowdsourced Disruption Reports. In: Groth, P., Frew, J. (eds) Provenance and Annotation of Data and Processes. IPAW 2012. Lecture Notes in Computer Science, vol 7525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34222-6_17
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DOI: https://doi.org/10.1007/978-3-642-34222-6_17
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