Tracing the provenance of linked data using voiD

Authors:
Tope Omitola;Landong Zuo;Christopher Gutteridge;Ian C. Millard;Hugh Glaser;Nicholas Gibbins;Nigel Shadbolt
Affiliations:
University of Southampton, UK;The Stationary Office, United Kingdom;University of Southampton, UK;University of Southampton, UK;University of Southampton, UK;University of Southampton, UK;University of Southampton, UK
Venue:
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Year:
2011

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Abstract

In the open world of the (Semantic) web, a world where increasingly diverse materials from disparate sources of different qualities are being made available, an automatic mechanism for the provision of provenance information of these sources is needed. This paper describes voidp, a provenance extension for the void vocabulary, that allows data publishers to specify the provenance relationships of their data. We enumerate voidp's classes and properties, and describe a use case scenario. A wider uptake of voidp by dataset publishers will allow data consuming tools to take advantage of these metadata providing consumers with the origin, i.e., the provenance, of what is being consumed.