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        <article-title>“W3-ChaT” - WWW - Challenges and Trends (W3-ChaT 2017)</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Workshop Program Committee</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Milan Dojchinovski</string-name>
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        <contrib contrib-type="author">
          <string-name>Cˇ VUT Praha László Grad-Gyenge</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Creo Group</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Budapest Tomáš Horváth</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>ELTE Budapest Tomáš Kliegr</string-name>
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        <contrib contrib-type="author">
          <string-name>VŠE Praha Jaroslav Kucharˇ</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Cˇ VUT Praha András Micsik</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>MTA SZTAKI</string-name>
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        <contrib contrib-type="author">
          <string-name>Budapest Ladislav Peska</string-name>
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        <contrib contrib-type="author">
          <string-name>UK Praha Tomáš Vitvar</string-name>
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        <contrib contrib-type="author">
          <string-name>CVUT Praha Peter Vojtáš</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>UK Praha</string-name>
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      <abstract>
        <p>The W3-ChaT workshop is focused on addressing existing challenges we are facing today on the Web (and in general on Internet). Solution of such challenges are crucial to support/improve smooth experience of users with the Web as well their decision making. Web challenges are strongly associated with intelligent algorithms of various kind and purpose acting as clever solutions simplifying many tasks such that mining users' data and relevant data sources with associated semantics, extracting users' contexts and predicting their interests leading to improved data providers, user experience and semantics as proper knowledge representations.</p>
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