Automated Metadata Generation for Linked Data Generation and Publishing Workflows
Provenance and other metadata are essential for determining ownership and trust. Nevertheless, no systematic approaches were introduced so far in the Linked Data publishing workflow to capture them. Defining such metadata remained independent of the RDF data generation and publishing. In most cases, metadata is manually defined by the data publishers (person-agents), rather than produced by the involved applications (software-agents). Moreover, the generated RDF data and the published one are considered to be one and the same, which is not always the case, leading to pure, condense and often seductive information. This paper introduces an approach that takes into consideration declarative definitions of mapping rules, which define how the RDF data is generated, and data descriptions of raw data that allow to automatically and incrementally generate provenance and metadata information. This way, it is assured that the metadata information is accurate, consistent and complete.
Published in 2016 in Proceedings of the 9th Workshop on Linked Data on the Web.
Keywords: Linked Data, metadata, provenance
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- Alternatively, you can refer to this paper as: Dimou, A., De Nies, T., Verborgh, R., Mannens, E. and Van de Walle, R. (2016), “Automated Metadata Generation for Linked Data Generation and Publishing Workflows”, in Auer, S., Berners-Lee, T., Bizer, C. and Heath, T. (Eds.), Proceedings of the 9th Workshop on Linked Data on the Web, Vol. 1593, CEUR Workshop Proceedings.