We argue that existing systems to support social computation suffer from a lack of transparency and that this can be addressed by integrating provenance capture mechanisms into such systems. We discuss how Semantic Web technologies can be used to facilitate this, and how the provenance record could be used to support various forms of decision-making about tasks such as workforce selection.
|CEUR Workshop Proceedings
|1st International Workshop on Crowdsourcing the Semantic Web
|19/10/13 → 19/10/13
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.