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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Analyzing Chat Conversations of Pedophiles with Temporal Relational Semantic Systems</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Paul Elzinga</string-name>
          <email>paul.elzinga@amsterdam.politie.nl</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Karl Erich Wol</string-name>
          <email>karl.erich.wolff@t-online.de</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jonas Poelmans</string-name>
          <email>jonas.poelmans@econ.kuleuven.be</email>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Guido Dedene</string-name>
          <email>Guido.Dedene@econ.kuleuven.be</email>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Stijn Viaene</string-name>
          <email>Stijn.Viaene@econ.kuleuven.be</email>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Amsterdam-Amstelland Police James Wattstraat 84</institution>
          ,
          <addr-line>1097DM Amsterdam</addr-line>
          ,
          <country country="NL">The Netherlands</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Ernst-Schroder-Center, Darmstadt University of Technology Schlo gartenstr.</institution>
          <addr-line>7, D-64289 Darmstadt</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>K.U.Leuven, Faculty of Business and Economics</institution>
          ,
          <addr-line>Naamsestraat 69, 3000 Leuven</addr-line>
          ,
          <country country="BE">Belgium</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>National Research University Higher School of Economics (HSE) Pokrovskiy boulvard 11</institution>
          ,
          <addr-line>101000 Moscow</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>Universiteit van Amsterdam Business School Roetersstraat 11</institution>
          ,
          <addr-line>1018 WB Amsterdam</addr-line>
          ,
          <country country="NL">The Netherlands</country>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution>Vlerick Leuven Gent Management School</institution>
          ,
          <addr-line>Vlamingenstraat 83, 3000 Leuven</addr-line>
          ,
          <country country="BE">Belgium</country>
        </aff>
      </contrib-group>
      <fpage>82</fpage>
      <lpage>84</lpage>
      <abstract>
        <p>Grooming is the process by which pedophiles try to nd children on the internet for sex-related purposes. In chat conversations they may try to establish a connection and escalate the conversation towards a physical meeting. Till date no good methods exist for quickly analyzing the contents, evolution over time, the present state and threat level of these chat conversations. In this paper we propose a novel method based on Temporal Relational Semantic Systems, the main structure in the temporal and relational version of Formal Concept Analysis. For rapidly gaining insight into the topics of chat conversations we combine a linguistic ontology for chat terms with conceptual scaling and represent the dynamics of chats by life tracks in nested line diagrams. To showcase the possibilities of our approach we used chat conversations of a private American organization which actively searches for pedophiles on the internet.</p>
      </abstract>
      <kwd-group>
        <kwd>Formal Concept Analysis</kwd>
        <kwd>Temporal Concept Analysis</kwd>
        <kwd>Conceptual Scaling</kwd>
        <kwd>Relational Systems</kwd>
        <kwd>Nested Line Diagrams</kwd>
        <kwd>Transition Diagrams</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Analyzing Chat Conversations of Pedophiles</p>
      <p>P. Elzinga et al.</p>
    </sec>
  </body>
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