Provenance and Annotations for Linked Data

Kai Eckert

Abstract


Provenance tracking for Linked Data requires the identification of Linked
Data resources. Annotating Linked Data on the level of single statements requires the identification
of these statements. The concept of a Provenance Context is introduced as the basis for a consistent
data model for Linked Data that incorporates current best-practices and creates identity for every
published Linked Dataset. A comparison of this model with the Dublin Core Abstract Model is provided
to gain further understanding, how Linked Data affects the traditional view on metadata and to what
extent our approach could help to mediate. Finally, a linking mechanism based on RDF reification
is developed to annotate single statements within a Provenance Context.

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