Overview of content related to 'metadata'
This page provides an overview of 4 articles related to 'information retrieval', listing most recently updated content first. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

Information retrieval (IR) is the area of study concerned with searching for documents, for information within documents, and for metadata about documents, as well as that of searching structured storage, relational databases, and the World Wide Web. There is overlap in the usage of the terms data retrieval, document retrieval, information retrieval, and text retrieval, but each also has its own body of literature, theory, praxis, and technologies. IR is interdisciplinary, based on computer science, mathematics, library science, information science, information architecture, cognitive psychology, linguistics, and statistics. Automated information retrieval systems are used to reduce what has been called "information overload". Many universities and public libraries use IR systems to provide access to books, journals and other documents. Web search engines are the most visible IR applications. (Excerpt from Wikipedia article: Information retrieval)
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Top authorsAriadne contributors most frequently referring to 'information retrieval':
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| Title | Article summary | Date |
|---|---|---|
Towards Interoperabilty of European Language Resources |
Sophia Ananiadou and colleagues describe an ambitious new initiative to accelerate Europe-wide language technology research, helped by their work on promoting interoperability of language resources. |
July 2011, issue67, feature article |
UK Institutional Repository Search: Innovation and Discovery |
Vic Lyte, Sophia Jones, Sophia Ananiadou and Linda Kerr describe an innovative tool to showcase UK research output through advanced discovery and retrieval facilities. |
October 2009, issue61, feature article |
The National Centre for Text Mining: A Vision for the Future |
Sophia Ananiadou describes NaCTeM and the main scientific challenges it helps to solve together with issues related to deployment, use and uptake of NaCTeM's text mining tools and services. |
October 2007, issue53, feature article |
The National Centre for Text Mining: Aims and Objectives |
Sophia Ananiadou, Julia Chruszcz, John Keane, John McNaught and Paul Watry describe NaCTeM's plans to provide text mining services for UK academics. |
January 2005, issue42, feature article |