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. © 2012 Springer-Verlag.
Cite
CITATION STYLE
Markovic, M., Edwards, P., Corsar, D., & Pan, J. Z. (2012). DEMO: Managing the provenance of crowdsourced disruption reports. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7525 LNCS, pp. 209–213). https://doi.org/10.1007/978-3-642-34222-6_17
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