Overview of content related to 'search technology'
This page provides an overview of 4 articles related to 'data', 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.

The term data refers to qualitative or quantitative attributes of a variable or set of variables. Data (plural of "datum") are typically the results of measurements and can be the basis of graphs, images, or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and then knowledge are derived. Raw data, i.e. unprocessed data, refers to a collection of numbers, characters, images or other outputs from devices that collect information to convert physical quantities into symbols. (Excerpt from Wikipedia article: Data)
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Top authorsAriadne contributors most frequently referring to 'data':
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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 |