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Overview of content related to 'open access'

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This page provides an overview of 1 article related to 'semantic web'. 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.

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The Semantic Web is a "web of data" that enables machines to understand the semantics, or meaning, of information on the World Wide Web. It extends the network of hyperlinked human-readable web pages by inserting machine-readable metadata about pages and how they are related to each other, enabling automated agents to access the Web more intelligently and perform tasks on behalf of users. The term was coined by Tim Berners-Lee, the inventor of the World Wide Web and director of the World Wide Web Consortium, which oversees the development of proposed Semantic Web standards. He defines the Semantic Web as "a web of data that can be processed directly and indirectly by machines. (Excerpt from Wikipedia article: Semantic Web)

Key statistics

Metadata related to 'semantic web' (as derived from all content tagged with this term):

  • Number of articles referring to 'semantic web': 114 (6.5% of published articles)
  • Total references to 'semantic web' across all Ariadne articles: 328
  • Average number of references to 'semantic web' per Ariadne article: 2.88
  • Earliest Ariadne article referring to 'semantic web': 1999-06
  • Trending factor of 'semantic web': 19.2 (see FAQs on monitoring of trends)

See our 'semantic web' 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 'semantic web' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'semantic web':

  1. brian kelly (see articles on this topic by this author)
  2. dave beckett (see articles on this topic by this author)
  3. emma tonkin (see articles on this topic by this author)
  4. libby miller (see articles on this topic by this author)
  5. alexey strelnikov (see articles on this topic by this author)

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 Datesort icon

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

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by Dr. Radut