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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Ontology of Ontology Patterns as Linked Data Integration Tool</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Miroslav Vacura</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Vojtech Svatek</string-name>
          <email>svatek@vse.cz</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Faculty of Informatics and Statistics, University of Economics W.</institution>
          <addr-line>Churchill Sq.4, 130 67 Prague 3</addr-line>
          ,
          <country country="CZ">Czech Republic</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The paper present preview of ontology of ontology design patterns and transformation patterns being developed as support tool for emerging ontology design techniques and methodologies. The Linked Data initiative was started by Tim Berners-Lee as an architectural vision for the Semantic Web. It explores the idea of Semantic Web as puting emphasis on making links so both people and machines can explore the interconnected web of data [1].</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Person</p>
      <p>Person
FOAF</p>
      <p>Role
Relation-type</p>
      <p>Event</p>
      <p>Event
Person
(n-ary relator)</p>
      <p>Person
Time-interval</p>
      <p>T1</p>
      <p>T3</p>
      <p>Relation-type
Person
(n-ary relator)</p>
      <p>Person</p>
      <p>T2</p>
      <p>Role
Relation-type</p>
      <p>Event
Person
(n-ary relator)</p>
      <p>Person</p>
      <p>
        As an use-case we choose the FOAF project and it's `knows' relation. Since
2004 there was more than 1 million FOAF documents and 79% of them utilized
the knows property [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. The typical needs of ontology engineer working on top
of some Linked Data source comprises of transformation or aligning data to
some more complex ontology either newly designed or already existing. This is
also case of knows relation that in its FOAF implementation is very simple and
doesn't allow expressing more complex relations among individuals.
      </p>
      <p>In the case of newly designed ontology use of ontology design patterns (ODPs)
proved the most e ective and the least time consuming way of doing it. In
context of our use-case we can think of several iterations of ODPs that represent
more or less complex or expanded view on `knows' relation as is depicted on
Fig. 1. These ODPs can be connected together using prede ned transformation
patterns (OPPL), It seems to us that having library of such prede ned pattern
transformations at hand could make such design tasks easier and much faster.
Our ongoing work proposes development of such library on top of existing
portal OntologyDesignPatterns.org, but 1) in form of ontology, 2) with explicitly
stated relations, 3) that are formally de ned and 4) with appropriate
transformations (OPPL) between related patterns, that enable automatic transformation
from one pattern to another. We also focus on providing more ne-grained
analysis of relations (like specialization/generalization) between ontology ODPs.</p>
    </sec>
    <sec id="sec-2">
      <title>Logical ODP</title>
    </sec>
    <sec id="sec-3">
      <title>Content ODP ODP</title>
    </sec>
    <sec id="sec-4">
      <title>Ontology Patterns (OP)</title>
      <sec id="sec-4-1">
        <title>SourceODP</title>
      </sec>
      <sec id="sec-4-2">
        <title>TargetODP</title>
        <p>
          Such a library would could be easily integrated with methodologies like
Extreme Design (XD) [
          <xref ref-type="bibr" rid="ref3">3</xref>
          ] and respective development tools like NeON or Protege.
This extended abstracts presents early preview of architecture of ontology being
developed on Fig. 2. For additional information see http://keg.vse.cz.
Acknowledgments
This work has been partially partially supported by the IGS 4/2010 and by
the CSF grant no. P202/10/1825 (PatOMat - Automation of Ontology Pattern
Detection and Exploitation).
        </p>
      </sec>
    </sec>
  </body>
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</article>