<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/10362/5764</link>
    <description />
    <pubDate>Sat, 25 May 2013 02:51:33 GMT</pubDate>
    <dc:date>2013-05-25T02:51:33Z</dc:date>
    <item>
      <title>Improving discovery in the life sciences using semantic Web technologies and linked data: design principles for life sciences knowledge organization systems</title>
      <link>http://hdl.handle.net/10362/5766</link>
      <description>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</description>
      <pubDate>Fri, 01 Apr 2011 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10362/5766</guid>
      <dc:date>2011-04-01T00:00:00Z</dc:date>
    </item>
  </channel>
</rss>

