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  <title>DSpace Community:</title>
  <link rel="alternate" href="http://hdl.handle.net/10362/4553" />
  <subtitle />
  <id>http://hdl.handle.net/10362/4553</id>
  <updated>2013-05-22T21:38:26Z</updated>
  <dc:date>2013-05-22T21:38:26Z</dc:date>
  <entry>
    <title>Improving discovery in the life sciences using semantic Web technologies and linked data: design principles for life sciences knowledge organization systems</title>
    <link rel="alternate" href="http://hdl.handle.net/10362/5766" />
    <author>
      <name>Deus, Helena Futscher de</name>
    </author>
    <id>http://hdl.handle.net/10362/5766</id>
    <updated>2011-06-09T15:34:25Z</updated>
    <published>2011-04-01T00:00:00Z</published>
    <summary type="text">Title: Improving discovery in the life sciences using semantic Web technologies and linked data: design principles for life sciences knowledge organization systems
Authors: Deus, Helena Futscher de
Abstract: The data deluge in biology resulting from wide adoption of highthroughput&#xD;
technologies, coupled with the increasing reliance on web&#xD;
technologies for knowledge organization, sharing and discovery, has&#xD;
created unprecedented opportunities, and challenges, for knowledge&#xD;
engineering in Life Sciences domains. The Semantic Web technologies&#xD;
correspond to a set of standards and best practices for improving data&#xD;
sharing and interoperability on the Web that can greatly advance research in&#xD;
data-driven sciences such as translational medicine and systems biology.&#xD;
Current Semantic Web approaches for addressing those challenges have&#xD;
either relied on automatically formatting biological data sources as RDF&#xD;
(Resource Description Framework), the lingua franca of the Semantic Web,&#xD;
or in the development of bio-{)ntologies. Albeit the significant integrative&#xD;
advances that those represent, wide adoption of Semantic Web&#xD;
technologies by the communities acquiring and modeling experimental&#xD;
biological data has remained suboptimal.(...)
Description: Dissertation presented to obtain the Ph.D degree in Bioinformatics</summary>
    <dc:date>2011-04-01T00:00:00Z</dc:date>
  </entry>
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