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        <identifier>oai:dcpapers.dublincore.org:952136081</identifier>
        <datestamp>2013-09-02</datestamp>
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      <dc:title>Provenance and Annotations for Linked Data</dc:title>
      <dc:creator>Eckert, Kai</dc:creator>
      <dc:subject>Provenance</dc:subject>
      <dc:subject>Annotations</dc:subject>
      <dc:subject>RDF</dc:subject>
      <dc:subject>Linked Data</dc:subject>
      <dc:subject>DCAM</dc:subject>
      <dc:subject>DM2E</dc:subject>
      <dc:description>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.</dc:description>
      <dc:publisher>Dublin Core Metadata Initiative</dc:publisher>
      <dc:date>2013-09-02</dc:date>
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      <dc:identifier>https://doi.org/10.23106/dcmi.952136081</dc:identifier>
      <dc:identifier>https://dcpapers.dublincore.org/article/952136081</dc:identifier>
      <dc:source>Dublin Core Metadata Initiative Conference Proceedings</dc:source>
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