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        <datestamp>2025-10-02T11:36:44Z</datestamp>
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          <dc:title>Resources for Graph Data and Knowledge</dc:title>
          <dc:creator>Hogan, Aidan</dc:creator>
          <dc:creator>Horrocks, Ian</dc:creator>
          <dc:creator>Hotho, Andreas</dc:creator>
          <dc:creator>Kagal, Lalana</dc:creator>
          <dc:creator>Sattler, Uli</dc:creator>
          <dc:subject>Graphs</dc:subject>
          <dc:subject>Data</dc:subject>
          <dc:subject>Knowledge</dc:subject>
          <dc:description>In this Special Issue of Transactions on Graph Data and Knowledge - entitled "Resources for Graph Data and Knowledge" - we present eight articles that describe key resources in the area. These resources cover a wide range of topics within the scope of the journal, including graph querying, graph learning, information extraction, and ontologies, addressing applications of knowledge graphs involving art, bibliographical metadata, research reproducibility, and transport networks.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Aidan Hogan and Ian Horrocks and Andreas Hotho and Lalana Kagal and Uli Sattler</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of TGDK, Volume 2, Issue 2 (2024): Special Issue on Resources for Graph Data and Knowledge. Transactions on Graph Data and Knowledge, Volume 2, Issue 2</dc:relation>
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