@inproceedings{67f957ccd9a1494f971899cc04901ee1,
title = "Managing the Provenance of Crowdsourced Disruption Reports",
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.",
keywords = "Provenance, Social Machines, Streams, Linked Data",
author = "Milan Markovic and Pete Edwards and David Corsar and Pan, {Jeff Z}",
note = "A paid open access option is available for this journal. Authors own final version only can be archived Publisher's version/PDF cannot be used On author's website immediately On any open access repository after 12 months from publication Published source must be acknowledged Must link to publisher version Set phrase to accompany link to published version (see policy) Articles in some journals can be made Open Access on payment of additional charge ",
year = "2012",
month = jun,
doi = "10.1007/978-3-642-34222-6_17",
language = "English",
isbn = "978-3-642-34221-9",
volume = "7525",
series = "Lecture Notes in Computer Science ",
publisher = "Springer Berlin / Heidelberg",
pages = "209--213",
editor = "Paul Groth and James Frew",
booktitle = "Provenance and Annotation of Data and Processes",
}