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      <title-group>
        <article-title>12th International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS 2018)</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>At the 147h International Semantic Web Conference (ISWC2018)</institution>
          ,
          <addr-line>Monterey, CA, USA October, 2018</addr-line>
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      <title>-</title>
      <p>SSWS 2018 PC Co-chairs’ Message
SSWS 2018 is the twelfth edition of the successful Scalable Semantic Web Knowledge Base
Systems (SSWS) workshop series. The SSWS series is focused on addressing scalability issues with
respect to the development and deployment of knowledge base systems on the Semantic Web. This
12th workshop aimed at providing a forum for discussing application-oriented issues of Semantic
Technologies, with the focus on systems that turn large volumes of real-world data into actionable
knowledge at industry domains. This goal imposed significant scalability requirements on storage
and processing systems and demands for reliable workflows to curate and validate data from various
sources. By inviting contributions that integrate methods and results from research on RDF and
Property Graphs, this workshop brought together researchers and practitioners to share their ideas
regarding building and evaluating scalable knowledge base systems for the web.</p>
      <p>In addition to the regular paper presentation sessions, this 12th SSWS workshop includes a
poster session designed to facilitate sharing of ideas among researchers and practitioners. Further,
this workshop arranges an industry talk by Amazon which now o↵ers Neptune, a fully managed
graph database that supports both RDF and Property Graph data models.</p>
      <p>This year we received 9 submissions. Each paper was carefully evaluated by three workshop
Program Committee members. Based on these reviews, we accepted 6 papers for presentation. Two
of these papers where selected as best papers and are also published as part of the book “Emerging
Topics in Semantic Technologies. ISWC 2018 Satellite Events. E. Demidova, A.J. Zaveri, E.
Simperl (Eds.), ISBN: 978-3-89838-736-1, 2018, AKA Verlag Berlin”. These are the titles “Extending
LargeRDFBench for Multi-Source Data at Scale for SPARQL Endpoint Federation” and
“Assessing Linked Data Versioning Systems: The Semantic Publishing Versioning Benchmark” which are
marked with an * in the table of contents.</p>
      <p>We sincerely thank the authors for all the submissions and are grateful for the excellent work
by the Program Committee members.</p>
    </sec>
    <sec id="sec-2">
      <title>August 2018</title>
    </sec>
    <sec id="sec-3">
      <title>Thorsten Liebig Achille Fokoue Zhe Wu</title>
      <p>Copyright c 2018 for the individual papers by the papers’ authors. Two papers are also published
in ”Emerging Topics in Semantic Technologies. ISWC 2018 Satellite Events. E. Demidova, A.J.
Zaveri, E. Simperl(Eds.), ISBN: 978-3-89838-736-1, 2018, AKA Verlag Berlin.
Copying permitted for private and academic purposes. This volume is published and copyrighted by
its editors.</p>
      <p>Program Committee</p>
    </sec>
    <sec id="sec-4">
      <title>Achille Fokoue IBM Watson Research Center, USA</title>
    </sec>
    <sec id="sec-5">
      <title>Rau´l Garc´ıa-Castro Univ. Politecnica de Madrid, Spain</title>
    </sec>
    <sec id="sec-6">
      <title>Bernado Cuenca Grau University of Oxford, UK</title>
    </sec>
    <sec id="sec-7">
      <title>Volker Haarslev Condordia University, Canada</title>
    </sec>
    <sec id="sec-8">
      <title>Pavel Klinov Complexible Inc., USA</title>
    </sec>
    <sec id="sec-9">
      <title>Adila A. Krisnadhi Wright State University, Ohio, USA</title>
    </sec>
    <sec id="sec-10">
      <title>Thorsten Liebig derivo GmbH, Germany</title>
    </sec>
    <sec id="sec-11">
      <title>Ralf M¨oller Hamburg Univ. of Techn., Germany</title>
    </sec>
    <sec id="sec-12">
      <title>Raghava Mutharaju Wright State University, Ohio, USA</title>
    </sec>
    <sec id="sec-13">
      <title>Mariano Rodr´ıguez-Muro IBM Watson Research Center, USA</title>
    </sec>
    <sec id="sec-14">
      <title>Kavitha Srinivas RivetLabs, USA</title>
    </sec>
    <sec id="sec-15">
      <title>Takahira Yamaguchi Keio University, Japan Zhe Wu Oracle, USA</title>
      <p>The Fundamentals of Semantic Versioned Querying . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</p>
      <p>Ruben Taelman, Hideaki Takeda, and Ruben Verborgh
1</p>
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    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <string-name>
            <given-names>Stream</given-names>
            <surname>Processing: The Matrix</surname>
          </string-name>
          <string-name>
            <given-names>Revolutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Romana</given-names>
            <surname>Pernischov</surname>
          </string-name>
          <article-title>´a, Florian Ruosch, Daniele Dell'Aglio,</article-title>
          and Abraham Bernstein
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <string-name>
            <given-names>Federation* . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Hongyan</given-names>
            <surname>Wu</surname>
          </string-name>
          , Atsuko Yamaguchi, and
          <string-name>
            <surname>Jin-Dong KimAli Hasnain</surname>
          </string-name>
          , Muhammad Saleem,
          <string-name>
            <surname>Axel-Cyrille Ngonga Ngomo</surname>
          </string-name>
          , and
          <string-name>
            <surname>Dietrich</surname>
          </string-name>
          Rebholz-Schuhmann
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          <source>Assessing Linked Data Versioning Systems: The Semantic Publishing Versioning Benchmark* 45 Vassilis Papakonstantinou</source>
          , Irini Fundulaki, and Giorgos Flouris
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          <string-name>
            <given-names>Approximating</given-names>
            <surname>Faceted Search for Graph</surname>
          </string-name>
          <string-name>
            <given-names>Queries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 Vidar</given-names>
            <surname>Klungre</surname>
          </string-name>
          , and Martin Giese
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          <article-title>Bridging Property Graphs and RDF for IoT Information</article-title>
          <string-name>
            <given-names>Management . . . . . . . . . . . . . . . . . . . . 77 Abdullah</given-names>
            <surname>Abbas</surname>
          </string-name>
          , and Gilles Privat
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
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