Provenance Policies for Subjective Filtering of the Aggregated Linked Data

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Provided by: IARIA
Topic: Data Management
Format: PDF
As part of project and initiative, the authors are developing an ODCleanStore framework enabling management of governmental linked data and providing web applications with a possibility to consume cleaned and integrated governmental linked data; the provided data is accompanied with data provenance and a quality score based on a set of policies designed by the governmental domain experts. Nevertheless, these (objective) policies fail to express subjective quality of the data as perceived by various data consumers and different situations at their hand. In this paper, they describe how consumers can define their own situation-specific policies based on the idea of filtering certain data sources due to certain aspects in the data provenance records associated with these sources.
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