Overview of content related to 'software'
This page provides an overview of 3 articles related to 'database', 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.

A database is a system intended to organize, store, and retrieve large amounts of data easily. It consists of an organized collection of data for one or more uses, typically in digital form. One way of classifying databases involves the type of their contents, for example: bibliographic, document-text, statistical. Digital databases are managed using database management systems, which store database contents, allowing data creation and maintenance, and search and other access. (Excerpt from Wikipedia article: Database)
Key statisticsMetadata related to 'database' (as derived from all content tagged with this term):
See our 'database' overview for more data and comparisons with other tags.
For visualisations of metadata related to timelines,
bands of recency,
top authors, and
and overall distribution of authors
using this term, see our
'database' usage charts.
|
Top authorsAriadne contributors most frequently referring to 'database':
Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters. |
| 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 |
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 |