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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Data Mining on Linked Data Workshop (DMoLD'13) with Linked Data Mining Challenge was held on 23 September 2013 in Prague, Czech Republic. It was part of ECML/PKDD2013, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. It was the rst workshop in a series foreseen for researchers and practitioners interested in 'KDD rst'.</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Linked data</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>published on the web in RDF format</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>there are heterogeneous data models</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>with varying degrees of completeness</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>an open track</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>a challenge track</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>members ac- cepted two papers for the open track</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Claudia d'Amato, University of Bari, Italy Petr Berka, University of Economics</institution>
          ,
          <addr-line>Prague</addr-line>
          ,
          <country country="CZ">Czech Republic</country>
          <addr-line>Vojt¥ch SvÆtek</addr-line>
          ,
          <institution>University of Economics</institution>
          ,
          <addr-line>Prague</addr-line>
          ,
          <country>Czech Republic Krzysztof Wƒcel</country>
          ,
          <institution>Pozna« University of Economics</institution>
          ,
          <country country="PL">Poland</country>
        </aff>
      </contrib-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Programme Chairs</title>
    </sec>
    <sec id="sec-2">
      <title>Program</title>
    </sec>
    <sec id="sec-3">
      <title>Committee</title>
      <sec id="sec-3-1">
        <title>Jose Mara Alvarez-Rodrguez Sren Auer Bettina Berendt Marko Grobelnik</title>
        <p>Fazel Famili</p>
      </sec>
      <sec id="sec-3-2">
        <title>Nicola Fanizzi</title>
        <p>Agnieszka awrynowicz
Pablo Mendes
Martin Ne£ask
Zbigniew Ra–
Jerzy Stefanowski
Volker Tresp
Djamel Zighed
South East European Research Center, Greece
Universitat Leipzig, Germany
KU Leuven, Belgium
JSI, Ljubljana, Slovenia
NRC Institute for Information Technology
Ottawa, Canada</p>
        <p>University of Bari, Italy
Poznan University of Technology, Poland</p>
        <p>Free University Berlin, Germany
Charles University Prague, Czech Republic
University of North Carolina, Charlotte, USA
Poznan University of Technology, Poland
University of Munich, Germany
University Lumiere, Lyon, France
Additional Reviewers
Domain experts in public contract data analysis:</p>
      </sec>
      <sec id="sec-3-3">
        <title>Invited Talk</title>
      </sec>
      <sec id="sec-3-4">
        <title>Open Track</title>
        <p>Exploiting Linked Open Data as Background Knowledge in Data Mining :</p>
        <p>Heiko Paulheim
Lattice Based Data Access (LBDA): An Approach for Relating Data
and Linked Open Data in Biology : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :
Mehwish Alam, Melisachew Wudage Chekol, Adrien Coulet, Amedeo
Napoli and Malika Smail-Tabbone
A Fast and Simple Graph Kernel for RDF : : : : : : : : : : : : : : : : : : : : : : : : : : :</p>
        <p>Gerben Klaas Dirk de Vries and Steven de Rooij</p>
      </sec>
      <sec id="sec-3-5">
        <title>Challenge Track</title>
      </sec>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <string-name>
            <given-names>Linked</given-names>
            <surname>Data Mining</surname>
          </string-name>
          <article-title>Challenge (LDMC) 2013 Summary :</article-title>
          : : : : : : : : : : : : : : : Vojtech Svatek, Jindrich Mynarz, Petr Berka
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <article-title>Graph Kernels for Task 1 and 2 of the Linked Data Data Mining Challenge</article-title>
          <year>2013</year>
          : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : Gerben Klaas Dirk de Vries
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          <article-title>A Machine Learning approach to the Linked Data Mining Challenge 2013 Eneldo Loza Mencia, Simon Holthausen, Axel Schulz</article-title>
          and Frederik Janssen
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>