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      <title-group>
        <article-title>2nd International Workshop on Ordering and Reasoning</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Preface</string-name>
        </contrib>
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      <pub-date>
        <year>2013</year>
      </pub-date>
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      <title>-</title>
      <p>Proceedings
c 2013 for the individual papers by the papers’ authors. Copying permitted only for
private and academic purposes. This volume is published and copyrighted by its editors.
Re-publication of material from this volume requires permission by the copyright owners.
OrdRing 2013 was the 2nd International Workshop on Ordering and Reasoning and was
collocated with 12th International Semantic Web Conference (ISWC 2013) in Sydney.
The OrdRing workshop series aims to stimulate a paradigm shift in semantic technologies
toward novel methods that integrate ordering with reasoning inspired by stream and
rankaware data management.</p>
      <p>More and more applications require real-time processing of massive, dynamically
generated, ordered data, where order is often an essential factor reflecting recency, proximity or
relevance. Stream and rank-aware data management techniques are progressively
providing reactive and reliable query answering over such massive datasets, allowing integration
of highly dynamic sources. Key to their success is the use of streaming algorithms that
harness the natural or enforceable orders in the data. The expressive power of semantic
technologies is needed in those applications, yet existing semantic technologies are often
unable to address these needs, since they do not consider ordering as an essential property.
Ranking results is often seen as an added task, performed after inference, without affecting
the inference process, which is order-agnostic.</p>
      <p>The OrdRing workshops reflect a trend towards order-aware semantic technologies: both
researchers and practitioners understand that order matters in reasoning over massive and
highly dynamic data. The idea of Stream Reasoning is gaining considerable momentum.
Some top-k query answering techniques for Linked Data appeared. Several works are
considering SPARQL query answering on RDF annotated with partially ordered labels.
The description logic community is investigating top-k ontological query answering.
This year’s workshop received eight submissions out of which six were accepted. These
submissions were equally distributed over two themes: extending the expressiveness of
representation and query languages to better capture ordering information and reasoning
over semantic data streams.</p>
      <p>The increased interest in ordering and streaming information is also reflected by recent
plans to start a W3C RDF Stream Processing Community Group. Given the close relation
between the workshop topic and the discussion of the community group, the OrdRing
workshop featured a keynote on this new group given by Oscar Corcho and was collocated
with the open-door meeting of the group.</p>
      <p>OrdRing 2013 featured excellent scientific papers, a high-profile keynote advocating the
setting up of a community group for stream processing and a discussion of the future of
the topic. We are happy and proud to present the proceedings of the workshop.
October 2013</p>
      <p>Irene Celino, Emanuele Della Valle</p>
      <p>Markus Kro¨tzsch and Stefan Schlobach</p>
    </sec>
    <sec id="sec-2">
      <title>Workshop Organization</title>
    </sec>
    <sec id="sec-3">
      <title>Steering Committee</title>
      <p>Stefano Ceri – DEIB – Politecnico di Milano, IT
Ian Horrocks – University of Oxford, UK
Frank van Harmelen – Vrije Universiteit Amsterdam, NL</p>
    </sec>
    <sec id="sec-4">
      <title>Organizing Committee</title>
      <p>Irene Celino – CEFRIEL, Milano, IT
Emanuele Della Valle – DEIB – Politecnico di Milano, IT
Markus Kro¨ tzsch – University of Oxford, UK
Stefan Schlobach – Vrije Universiteit Amsterdam, NL</p>
    </sec>
    <sec id="sec-5">
      <title>Program Committee</title>
      <p>Alessandro Bozzon – Delft University of Technology, NL
David Carral – Wright State University, OH, USA
Oscar Corcho – Universidad Polite´cnica de Madrid, Spain
Peter Haase – fluid Operations, Walldorf, Germany
Carsten Lutz – Universita¨t Bremen, Germany
Jeff Z. Pan – University of Aberdeen, UK
Axel Polleres – Siemens AG O¨ sterreich &amp; WU (Wirtschaftsuniversita¨t Wien), Austria
Sebastian Rudolph – Technische Universita¨t Dresden, Germany
Steffen Staab – University of Koblenz-Landau, Germany
Umberto Straccia – ISTI-CNR, Pisa, Italy
Guido Vetere – IBM, Roma, Italy
Haofen Wang – Shanghai Jiao Tong University, China
Kewen Wang – Griffith University, Queensland, Australia
Gerhard Weikum – Max-Planck Institute for Informatics, Saarbru¨ cken, Germany
Zhe Wu – Oracle, CA, USA</p>
    </sec>
    <sec id="sec-6">
      <title>Additional Reviewers</title>
      <p>Yuting Zhao – University of Aberdeen, UK</p>
    </sec>
    <sec id="sec-7">
      <title>Invited Talk</title>
      <sec id="sec-7-1">
        <title>Announcing the birth of the W3C RDF Stream Processing Community Group</title>
        <p>Oscar Corcho and Jean-Paul Calbimonte
1</p>
      </sec>
    </sec>
    <sec id="sec-8">
      <title>Extending Languages with Ordering Information</title>
      <sec id="sec-8-1">
        <title>SPARQL with Qualitative and Quantitative Preferences</title>
        <p>Marina Gueroussova, Axel Polleres and Sheila McIlraith</p>
      </sec>
      <sec id="sec-8-2">
        <title>Order Theoretical Semantic Recommendation</title>
        <p>Cliff Joslyn, Emilie Hogan, Patrick Paulson, Elena Peterson, Eric Stephan
and Dennis Thomas</p>
      </sec>
      <sec id="sec-8-3">
        <title>SPARQL Update under RDFS Entailment in Fully Materialized and</title>
      </sec>
      <sec id="sec-8-4">
        <title>Redundancy-Free Triple Stores</title>
        <p>Albin Ahmeti and Axel Polleres</p>
      </sec>
    </sec>
    <sec id="sec-9">
      <title>Reasoning over Streaming Data</title>
      <sec id="sec-9-1">
        <title>Event Object Boundaries in RDF Streams</title>
        <p>Robin Keskisa¨rkka¨ and Eva Blomqvist</p>
      </sec>
      <sec id="sec-9-2">
        <title>SLUBM: An Extended LUBM Benchmark for Stream Reasoning</title>
        <p>Tu Ngoc Nguyen and Wolf Siberski
2-8
9-20
21-32
33-36
37-42
43-54</p>
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