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        <identifier>oai:dcpapers.dublincore.org:952136043</identifier>
        <datestamp>2012-09-08</datestamp>
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      <dc:title>Proof and Trust in the OpenAGRIS Implementation</dc:title>
      <dc:creator>Jaques, Yves</dc:creator>
      <dc:creator>Anibaldi, Stefano</dc:creator>
      <dc:creator>Celli, Fabrizio</dc:creator>
      <dc:creator>Subirats, Imma</dc:creator>
      <dc:creator>Stellato, Armando</dc:creator>
      <dc:creator>Keizer, Johannes</dc:creator>
      <dc:subject>Semantic Web</dc:subject>
      <dc:subject>proof</dc:subject>
      <dc:subject>trust</dc:subject>
      <dc:description>The AGRIS repository is a bibliographic database covering
                    almost forty years of agricultural research. Following the conversion of its indexing
                    thesaurus AGROVOC into a concept-based vocabulary, the decision was made to express the
                    entire AGRIS repository in RDF as Linked Open Data. As part of this exercise, a semantic
                    mashup named OpenAGRIS was developed in order to access the records and use them to
                    dynamically display related data from external systems through both SPARQL queries and
                    traditional web services. The overall process raised numerous issues regarding the
                    relative lack of administrative metadata required to compellingly address the top proof
                    and trust layers of the semantic web stack, both within the AGRIS repository and in
                    external data dynamically pulled into OpenAGRIS. The team began by disambiguating and
                    RDF-izing the journals in which the articles were published but quickly realized this
                    was only the beginning of a series of necessary activities in moving from a closed to an
                    open world paradigm. Further disambiguation of institutions, authors and AGRIS centres
                    as well as the use of named graphs, VoiD properties and emerging provenance and quality
                    indicator models are discussed and evaluated.</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.952136043</dc:identifier>
      <dc:identifier>https://dcpapers.dublincore.org/article/952136043</dc:identifier>
      <dc:source>Dublin Core Metadata Initiative Conference Proceedings</dc:source>
      <dc:language>en</dc:language>
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      <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
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