title: uBioRSS: tracking taxonomic literature using RSS.
abstract: 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.
  
  
  BACKGROUND
  http://names.ubio.org/rss/
authors: MBL Informatics, Marine Biological Laboratory, Woods Hole, MA 02543, USA.
authors: Patrick R
authors: PR
authors: Leary
authors: David P
authors: DP
authors: Remsen
authors: Catherine N
authors: CN
authors: Norton
authors: David J
authors: DJ
authors: Patterson
authors: Indra Neil
authors: IN
authors: Sarkar
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D002965:Classification / Q000379:methods*; D003628:Database Management Systems; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D009323:Natural Language Processing; D010506:Periodicals as Topic; D009626:Terminology as Topic; D018875:Vocabulary, Controlled