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Overview of content related to 'information retrieval'

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This page provides an overview of 1 article related to 'lucene'. 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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Apache Lucene is a free/open source information retrieval software library, originally created in Java by Doug Cutting. It is supported by the Apache Software Foundation and is released under the Apache Software License. Lucene has been ported to other programming languages including Delphi, Perl, C#, C++, Python, Ruby and PHP. (Excerpt from Wikipedia article: Lucene)

Key statistics

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

  • Number of articles referring to 'lucene': 11 (0.6% of published articles)
  • Total references to 'lucene' across all Ariadne articles: 45
  • Average number of references to 'lucene' per Ariadne article: 4.09
  • Earliest Ariadne article referring to 'lucene': 2004-01
  • Trending factor of 'lucene': 0 (see FAQs on monitoring of trends)

See our 'lucene' 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 'lucene' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'lucene':

  1. urvashi gadi (see articles on this topic by this author)
  2. aaron krowne (see articles on this topic by this author)
  3. richard jones (see articles on this topic by this author)
  4. linda kerr (see articles on this topic by this author)
  5. vic lyte (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 Date

QMSearch: A Quality Metrics-aware Search Framework

Aaron Krowne and Urvashi Gadi present a framework which improves searching in the context of scholarly digital libraries by taking a 'quality metrics-aware' approach.

April 2006, issue47, feature article

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