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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Graph Technologies in the Humanities Proceedings 2020</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Tara Andrews</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Franziska Diehr</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Thomas Efer</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andreas Kuczera</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Joris van Zundert</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Andreas Kuczera, University of Applied Science (THM)</institution>
          ,
          <addr-line>Gießen</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Joris van Zundert, KNAW Huygens Institute</institution>
          ,
          <addr-line>Amsterdam</addr-line>
          ,
          <country country="NL">Netherlands</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Tara Andrews, University of Vienna</institution>
          ,
          <country country="AT">Austria</country>
        </aff>
      </contrib-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Program Committee 2020</title>
      <sec id="sec-1-1">
        <title>Graph Technologies in the Humanities</title>
      </sec>
      <sec id="sec-1-2">
        <title>Proceedings 2020 – Preface –</title>
        <p>The conference series “Graph Technologies in the Humanities”1 was
launched in 2017 in Mainz, Germany, where it was held annually until 2019
at the Academy of Sciences and Literature. At the kind invitation of the
University of Vienna, the conference changed venues for the first time in
February 2020.</p>
        <p>Since its beginning, the conference series has been providing a forum for
the ever-growing community of users of graph and network technologies,
promoting exchanges about, and also critical consideration of, the
technologies and methodologies discussed here.</p>
        <p>The proceedings of the 2020 conference give an eclectic and inspiring
overview of what is happening at the forefront of the field. The 15
selected papers, which underwent open peer review by the program committee,
illustrate the performativity and versatility of graph technologies and their
application in the humanities. With a focus on technology and methods,
the volume presents investigations into an extraordinary variety of research
objects such as archaeological findings and burials, archival materials, book
illustrations, historical texts and writing systems, parliamentary debates, ink
drawings, and economic crimes. Another key concern is the way in which
graph technologies can be used to support the research process on various
levels.</p>
        <p>The papers assembled here provide insight into the practical application
of graph databases for the analysis of small and large data sets, graph-based
modeling and semantic data enrichment, and the analysis of networked data.
With their diverse topics and approaches, they highlight the great potential
and immediate usability of graph-based technologies and methods for the
humanities, and contribute to the dissemination of, and also critical
engagement with, these technologies and methods.</p>
        <p>We wish our readers an enjoyable experience acquainting themselves with
the field and its exciting, new developments. Your interest underlines the
topicality and relevance of the technologies and methods discussed in this
volume, as well as their fields of application in the (digital) humanities.
1https://graphentechnologien.hypotheses.org/tagungen</p>
      </sec>
    </sec>
    <sec id="sec-2">
      <title>Acknowledgements</title>
      <p>For the steadily growing community of users of graph and network
technologies, the conference series has provided a space for the discussion and
exchange of experiences, and fostered new and exciting ideas for various
research fields in the (digital) humanities. This would not have been possible
without the eofrts and generous support of the organizers. We would
therefore like to extend a special thank you to the University of Vienna (2020) for
preparing and hosting the conference in 2020 and the Academy of Sciences
and Literature | Mainz (2019) for hosting all the previous conferences of
the series.</p>
      <p>We greatly thank the association DHd – Digital Humanities im
deutschsprachigen Raum e.V. for their financial support in the publication
of this project, without whose funding the volume could not have been
realized, the Academy of Sciences and Literature | Mainz for their additional
sponsorship, and the CEUR-WS.org team for provding a home for these
proceedings through their free and open access publication service.</p>
      <p>We would like to thank all authors for their contributions and for their
patience with the publication process. We are also very grateful to Martin
Bleisteiner and Gabriella Szalay for their incredible work on copyediting, and
to Viktor Illmer and Marina Lehmann for their editorial assistance.
— Tara Andrews, Franziska Diehr, Thomas Efer, Andreas Kuczera,
and Joris van Zundert
A special word of thanks is in order for our invaluable editor in chief,
Franziska Diehr. Without Franziska’s enduring, and might we add
undaunted, eofrt nothing of these proceedings would have made it to publication
stage. Franziska was part of the Program Committee for the conference until
2021 and in that role was also pivotal for the success of the conferences. We
are greatly indebted to her zeal, stamina, and inspiration. (TA, TE, AK, and
JvZ)</p>
      <sec id="sec-2-1">
        <title>Enabling the Scholarly Discourse of the Future: Versioning RDF</title>
      </sec>
      <sec id="sec-2-2">
        <title>Data in the Digital Humanities</title>
        <p>Martina Bürgermeister</p>
      </sec>
      <sec id="sec-2-3">
        <title>Modeling as a Scholarly Process: The Impact of Modeling Decisions on Data-Driven Research Practices</title>
        <p>Aline Deicke</p>
      </sec>
      <sec id="sec-2-4">
        <title>Towards a Network of Sixteenth Century Book Illustrations</title>
        <p>Germaine Götzelmann</p>
      </sec>
      <sec id="sec-2-5">
        <title>Comparison of Graph- and Collection-Based Representations of</title>
      </sec>
      <sec id="sec-2-6">
        <title>Early Modern Biographical Archives</title>
        <p>Meadhbh Healy, Thomas O’Connor, and John Keating</p>
      </sec>
      <sec id="sec-2-7">
        <title>Feast and Famine: The Problem of Sources for Linked Data</title>
      </sec>
      <sec id="sec-2-8">
        <title>Creation</title>
        <p>Rebecca Kahn and Rainer Simon</p>
      </sec>
      <sec id="sec-2-9">
        <title>TEI Beyond XML – Digital Scholarly Editions as Provenance</title>
      </sec>
      <sec id="sec-2-10">
        <title>Knowledge Graphs</title>
        <p>Andreas Kuczera
101</p>
      </sec>
      <sec id="sec-2-11">
        <title>Graph Technologies for the Analysis of Historical Social Networks</title>
      </sec>
      <sec id="sec-2-12">
        <title>Using Heterogeneous Data Sources</title>
        <p>Sina Menzel, Mark-Jan Bludau, Elena Leitner, Marian Dörk,
Julián Moreno-Schneider, Vivien Petras, and Georg Rehm</p>
      </sec>
      <sec id="sec-2-13">
        <title>Modeling the ‘Unthought’</title>
        <p>Chiara Palladino, Andreas Kuczera, and Iian Neil</p>
      </sec>
      <sec id="sec-2-14">
        <title>Modeling Semantic Relations from a Dependency-Based Graph:</title>
      </sec>
      <sec id="sec-2-15">
        <title>A Corpus-Based Network Analysis of Croatian Parliamentary</title>
      </sec>
      <sec id="sec-2-16">
        <title>Debates</title>
        <p>Benedikt Perak</p>
      </sec>
      <sec id="sec-2-17">
        <title>Identifying Lesser-Known Actors of the ‘Stuttgart School’: An</title>
      </sec>
      <sec id="sec-2-18">
        <title>Event-Oriented Approach to Historical Network Research</title>
        <p>Claus-Michael Schlesinger
1
17
38
60
86
124
150
172
193</p>
      </sec>
      <sec id="sec-2-19">
        <title>SPARQLing Ogham Stones: New Options for Analyzing Analog</title>
      </sec>
      <sec id="sec-2-20">
        <title>Editions by Digitization in Wikidata</title>
        <p>Sophie C. Schmidt and Florian Thiery</p>
      </sec>
      <sec id="sec-2-21">
        <title>It May Be in the Structure, Not the Combinations: Graph Metrics</title>
        <p>as an Alternative to Statistical Measures in Corpus-Linguistic</p>
      </sec>
      <sec id="sec-2-22">
        <title>Research</title>
        <p>Anna Shadrova</p>
      </sec>
      <sec id="sec-2-23">
        <title>The Socinian Correspondence: A Graph-Based Digital Scholarly</title>
      </sec>
      <sec id="sec-2-24">
        <title>Edition</title>
        <p>Patrick Toschka, Julian Jarosch, and Andreas Kuczera
279</p>
      </sec>
      <sec id="sec-2-25">
        <title>Graph-Based Paths through a Narrative Corpus of Images: A</title>
      </sec>
      <sec id="sec-2-26">
        <title>Digital Edition of Giovanni Domenico Tiepolo’s Divertimento per li regazzi Based on the CIDOC CRM</title>
        <p>Rotislav Tumanov, Gabriel Viehhauser, Alina Feldmann, and
Barbara Koller</p>
      </sec>
      <sec id="sec-2-27">
        <title>Identifying Relevant Patterns in a Large Graph of Open Data: A</title>
      </sec>
      <sec id="sec-2-28">
        <title>Semantic Exploration of the Panama Papers</title>
        <p>Antoine Vion</p>
      </sec>
    </sec>
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