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 language | English |
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Title of host publication | Provenance and Annotation of Data and Processes |
Subtitle of host publication | 4th International Provenance and Annotation Workshop, IPAW 2012, Santa Barbara, CA, USA, June 19-21, 2012, Revised Selected Papers |
Editors | Paul Groth, James Frew |
Publisher | Springer Berlin / Heidelberg |
Pages | 209-213 |
Number of pages | 5 |
Volume | 7525 |
ISBN (Electronic) | 978-3-642-34222-6 |
ISBN (Print) | 978-3-642-34221-9 |
DOIs | |
Publication status | Published - Jun 2012 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Berlin Heidelberg |
Volume | 7525 |
ISSN (Print) | 0302-9743 |
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Keywords
- Provenance
- Social Machines
- Streams
- Linked Data