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    <title>Sophia Ananiadou on Ariadne</title>
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      <title>Towards Interoperabilty of European Language Resources</title>
      <link>http://www.ariadne.ac.uk/issue/67/ananiadou-et-al/</link>
      <pubDate>Sun, 03 Jul 2011 23:00:00 +0000</pubDate>
      
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      <description>A core component of the European Union is a common market with a single information space that works with around two dozen national languages and many regional languages. This wide variety of languages presents linguistic barriers that can severely limit the free flow of goods, information and services throughout Europe.
In this article, we provide an overview of the META-NET Network of Excellence [1]. This is an ambitious initiative, consisting of 44 centres from 31 countries in Europe, aiming to improve significantly on the number of language technologies that can assist European citizens, by supporting enhanced communication and co-operation across languages.</description>
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      <title>UK Institutional Repository Search: Innovation and Discovery</title>
      <link>http://www.ariadne.ac.uk/issue/61/lyte-et-al/</link>
      <pubDate>Fri, 30 Oct 2009 00:00:00 +0000</pubDate>
      
      <guid>http://www.ariadne.ac.uk/issue/61/lyte-et-al/</guid>
      <description>Institutional repositories are a major element of the Open Access movement. More specifically in research and education, the main purpose is to make available as much of the research output of an institution as possible.
However, a simple search box and a long list of returned (keyword) artefacts derived from either an individual institutional repository (IR) or a federated search that would generate an even longer list, is no longer sufficient.</description>
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      <title>The National Centre for Text Mining: A Vision for the Future</title>
      <link>http://www.ariadne.ac.uk/issue/53/ananiadou/</link>
      <pubDate>Tue, 30 Oct 2007 00:00:00 +0000</pubDate>
      
      <guid>http://www.ariadne.ac.uk/issue/53/ananiadou/</guid>
      <description>One of the defining challenges of e-Science is dealing with the data deluge [1] information overload and information overlook. More than 8,000 scientific papers are published every week (on Google Scholar, for example). Without sophisticated new tools, researchers will be unable to keep abreast of developments in their field and valuable new sources of research data will be under-exploited. The capability of text mining (TM) to find knowledge hidden in text and to present it in a concise form makes it an essential part of any strategy for addressing these problems.</description>
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    <item>
      <title>The National Centre for Text Mining: Aims and Objectives</title>
      <link>http://www.ariadne.ac.uk/issue/42/ananiadou/</link>
      <pubDate>Sun, 30 Jan 2005 00:00:00 +0000</pubDate>
      
      <guid>http://www.ariadne.ac.uk/issue/42/ananiadou/</guid>
      <description>In this article we describe the role of the National Centre for Text Mining (NaCTeM). NaCTeM is operated by a consortium of three Universities: the University of Manchester which leads the consortium, the University of Liverpool and the University of Salford. The service activity is run by the National Centre for Dataset Services (MIMAS), based within Manchester Computing (MC). As part of previous and ongoing collaboration, NaCTeM involves, as self-funded partners, world-leading groups at San Diego Supercomputer Center (SDSC), the University of California at Berkeley (UCB), the University of Geneva and the University of Tokyo.</description>
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