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    <article-meta>
      <title-group>
        <article-title>Towards Open Ontology Engineering</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Katharina Siorpaes</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Digital Enterprise Research Institute (DERI), University of Innsbruck</institution>
          ,
          <country country="AT">Austria</country>
        </aff>
      </contrib-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1 Motivation</title>
      <p>Even though ontologies are widely regarded as the backbone of the Semantic Web and
the research in the area is very active, only few well-maintained and useful ontologies can
be found when searching the Web. The reasons for this phenomenon are discussed in [1]
who identifies four bottlenecks: first, many relevant domains of discourse are subject to a
high degree of conceptual dynamics. Second, using and building ontologies is not
reasonable if the cost of building an ontology is higher than its benefit. Third, a
prerequisite for using an ontology and thus committing to its view of the world is to
exactly understand its exact ontological commitment and the meaning of concepts and
relations. This is hampered by the fact that most ontologies are built by a group of
engineers and the user community does not have control over the evolution of the
ontology due to the lack of efficient tool support for a broad audience with only limited
ontology engineering skills. Fourth, existing standards specifications and all kinds of
controlled vocabularies, which ontologies could re-use, are subject to intellectual property
rights.</p>
      <p>
        A community-oriented approach has several advantages towards an isolated,
engineeringoriented approach: A community can keep up with the pace of conceptual dynamics in a
domain more easily and it is cheaper for a community to collaboratively work on a
specification of an ontology than for a group of ontology engineers as the workload is
spread amongst the members. Finally, a community-agreed specification of a
conceptualization will more likely be used and further developed. The idea of wikis is to
allow a wide range of users to contribute to the content of the Web without requiring
more than basic Web editing skills. The enormous success of the online encyclopedia
Wikipedia1 has proven the efficiency of wiki infrastructure. In my thesis, I take the
following approach to collaborative and open ontology building tackling the problem of
ontology maintenance in dynamic domains: I propose (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ) the design of a lightweight user
interface aligned with the wiki philosophy, (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ) the re-use of data produced by social
software, such as folksonomies, as well as other Web resources in domain ontologies, and
(
        <xref ref-type="bibr" rid="ref3">3</xref>
        ) functionality that supports the community in achieving consensus.
      </p>
    </sec>
    <sec id="sec-2">
      <title>2 Related Work</title>
      <p>The related work can be divided into the following areas: Collaborative ontology
engineering: [3] describes Tadzebao and WebOnto. [4] describe the DILIGENT
knowledge process where ontology evolution and collaborative concept mapping are
applied to deal with conceptual dynamics of domains. The ontology editor Protégé2 is
also available in a Web version [5]. Semantic Wikis: [6] describe Makna, a Wiki engine
1 http://wikipedia.org/
2 http://protege.stanford.edu/
that was extended with generic ontology-driven components that allow collaborative
authoring, querying, and browsing Semantic Web information. IkeWiki [7] allows
annotating links, typing of pages, and context dependent content adaptation. Platypus
Wiki [8] aims at augmenting a wiki with semantics. The main difference to my thesis is
that existing approaches aim at augmenting existing wiki content with semantics instead
of using a wiki-like infrastructure as an environment for collaboratively building
ontologies.</p>
    </sec>
    <sec id="sec-3">
      <title>3 Methodology and Contribution</title>
      <p>
        In my thesis, on which I have been working for five months now, I commit to the
following research methodology: (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ) Analysis of a trade-off between expressivity and
tangibility of an ontology meta-model suitable for a broad audience. (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ) Combination of
external resources: (a) the statistical analysis of folksonomies and associated usage data,
(b) Web resources, such as Google or Wikipedia, (c) terminological resources, and (d)
ontology mapping and matching techniques. (
        <xref ref-type="bibr" rid="ref3">3</xref>
        ) Development of functionality that
supports the community in achieving consensus. (
        <xref ref-type="bibr" rid="ref4">4</xref>
        ) Application of various techniques for
visualization of ontologies and user interfaces to foster comprehensibility. (
        <xref ref-type="bibr" rid="ref5">5</xref>
        ) Evaluation
of the prototype by (a) comparing the performance of community-driven, wiki-based
ontology building to the performance of the traditional, engineering-oriented approach
and (b) undertaking a usability study.
      </p>
    </sec>
    <sec id="sec-4">
      <title>4 Expected Impact</title>
      <p>
        The approach towards ontology building described in this paper is supposed to enable
more users to contribute to the creation and maintenance of ontologies by (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ) providing
an easy-to-use, wiki-based user interface, (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ) re-using various external resources in
domain ontologies, and (
        <xref ref-type="bibr" rid="ref3">3</xref>
        ) supporting the community in achieving consensus, in order to
yield more relevant, up-to-date ontologies.
      </p>
      <p>Acknowledgments. This work has been funded by the Austrian BMVIT/FFG under the FIT-IT project
myOntology (grant no. 812515/9284).</p>
    </sec>
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