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    <title>Nature Precedings - Mark Wilkinson</title>
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      <title>Interoperability With Moby 1.0 &amp;#8211; It&amp;#8217;s Better Than Sharing Your Toothbrush!</title>
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      <description>The BioMoby project was initiated in 2001 from within the model organism database community.  It aimed to standardize methodologies to facilitate information exchange and access to analytical resources, using a consensus driven approach.  Six years later, the BioMoby development community is pleased to announce the release of the 1.0 version of the interoperability framework, registry API, and supporting Perl and Java code-bases.  Together, these provide interoperable access to over 1400 bioinformatics resources worldwide through the BioMoby platform, and this number continues to grow.  Here we highlight and discuss the features of BioMoby that make it distinct from other Semantic Web Service and interoperability initiatives, and that have been instrumental to its deployment and use by a wide community of bioinformatics service providers.  The standard, client software, and supporting code libraries are all freely available at http://www.biomoby.org/</description>
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      <pubDate>Fri, 04 Jan 2008 20:55:24 UTC</pubDate>
      <dc:title>Interoperability With Moby 1.0 &amp;#8211; It&amp;#8217;s Better Than Sharing Your Toothbrush!</dc:title>
      <dc:identifier>hdl:10101/npre.2008.1486.1</dc:identifier>
      <dc:date>2008-01-04</dc:date>
      <dc:creator>Mark Wilkinson</dc:creator>
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      <title>Bridging the gap between social tagging and semantic annotation: E.D. the Entity Describer</title>
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      <description>Semantic annotation enables the development of efficient computational methods for analyzing and interacting with information, thus maximizing its value.   With the already substantial and constantly expanding data generation capacity of the life sciences as well as the concomitant increase in the knowledge distributed in scientific articles, new ways to produce semantic annotations of this information are crucial.  While automated techniques certainly facilitate the process, manual annotation remains the gold standard in most domains.  In this manuscript, we describe a prototype mass-collaborative semantic annotation system that, by distributing the annotation workload across the broad community of biomedical researchers, may help to produce the volume of meaningful annotations needed by modern biomedical science.  We present E.D., the Entity Describer, a mashup of the Connotea social tagging system, an index of semantic web-accessible controlled vocabularies, and a new public RDF database for storing social semantic annotations.  </description>
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      <pubDate>Mon, 24 Sep 2007 11:49:10 UTC</pubDate>
      <dc:title>Bridging the gap between social tagging and semantic annotation: E.D. the Entity Describer</dc:title>
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      <dc:date>2007-09-24</dc:date>
      <dc:creator>Benjamin M. Good</dc:creator>
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