4.7 Article

uBioRSS: Tracking taxonomic literature using RSS

Journal

BIOINFORMATICS
Volume 23, Issue 11, Pages 1434-1436

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btm109

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Funding

  1. Div Of Information & Intelligent Systems
  2. Direct For Computer & Info Scie & Enginr [0943395] Funding Source: National Science Foundation

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Web content syndication through standard formats such as RSS and ATOM has become an increasingly popular mechanism for publishers, news sources and blogs to disseminate regularly updated content. These standardized syndication formats deliver content directly to the subscriber, allowing them to locally aggregate content from a variety of sources instead of having to find the information on multiple websites. The uBioRSS application is a 'taxonomically intelligent' service customized for the biological sciences. It aggregates syndicated content from academic publishers and science news feeds, and then uses a taxonomic Named Entity Recognition algorithm to identify and index taxonomic names within those data streams. The resulting name index is cross-referenced to current global taxonomic datasets to provide context for browsing the publications by taxonomic group. This process, called taxonomic indexing, draws upon services developed specifically for biological sciences, collectively referred to as 'taxonomic intelligence'. Such value-added enhancements can provide biologists with accelerated and improved access to current biological content.

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