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        <datestamp>2012-09-08</datestamp>
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      <dc:title>Leveraging the DDI Model for Linked Statistical Data in the Social,  Behavioural, and Economic Sciences</dc:title>
      <dc:creator>Bosch, Thomas</dc:creator>
      <dc:creator>Cyganiak, Richard</dc:creator>
      <dc:creator>Wackerow, Joachim</dc:creator>
      <dc:creator>Zapilko, Benjamin</dc:creator>
      <dc:subject>Semantic Web</dc:subject>
      <dc:subject>ontology design</dc:subject>
      <dc:subject>RDF</dc:subject>
      <dc:subject>DDI</dc:subject>
      <dc:subject>statistical data</dc:subject>
      <dc:description>Experts from the statistical domain
                    worked in close collaboration with ontology engineers to develop an ontology of a subset
                    of the Data Documentation Initiative, an established international standard for the
                    documentation and management of data from the social, behavioral, and economic sciences.
                    Experts in the statistics domain formulated use cases which are seen as most significant
                    to solve frequent problems. Various benefits for the Linked Data and the statistics
                    community as well are connected with an RDF representation of the developed ontology. In
                    the main part of the paper, the DDI conceptual model as well as implementations are
                    explained in detail.</dc:description>
      <dc:publisher>Dublin Core Metadata Initiative</dc:publisher>
      <dc:date>2012-09-08</dc:date>
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      <dc:identifier>https://doi.org/10.23106/dcmi.952135935</dc:identifier>
      <dc:identifier>https://dcpapers.dublincore.org/article/952135935</dc:identifier>
      <dc:source>Dublin Core Metadata Initiative Conference Proceedings</dc:source>
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