Propagating data policies: a user study
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Date
2017-11-04Author
Daga, Enrico
d’Aquin, Mathieu
Motta, Enrico
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Daga, Enrico, d'Aquin, Mathieu, & Motta, Enrico. (2017). Propagating Data Policies: a User Study. Paper presented at the Proceedings of the Knowledge Capture Conference, Austin, TX, USA, December 04 – 06.
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Abstract
When publishing data, data licences are used to specify the actions
that are permitted or prohibited, and the duties that target data
consumers must comply with. However, in complex environments
such as a smart city data portal, multiple data sources are constantly
being combined, processed and redistributed. In such a scenario,
deciding which policies apply to the output of a process based
on the licences attached to its input data is a difficult, knowledgeintensive
task. In this paper, we evaluate how automatic reasoning
upon semantic representations of policies and of data flows could
support decision making on policy propagation. We report on the
results of a user study designed to assess both the accuracy and
the utility of such a policy-propagation tool, in comparison to a
manual approach.