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uBioRSS: tracking taxonomic literature using RSS
Leary, P.R.; Remsen, D.P.; Norton, C.N.; Patterson, D.J.; Sarkar, I.N. (2007). uBioRSS: tracking taxonomic literature using RSS. Bioinformatics 23(11): 1434-1436. https://dx.doi.org/10.1093/bioinformatics/btm109
In: Bioinformatics. OXFORD UNIV PRESS. ISSN 1367-4803; e-ISSN 1460-2059, more
Peer reviewed article  

Available in  Authors 

Authors  Top 
  • Leary, P.R.
  • Remsen, D.P.
  • Norton, C.N.
  • Patterson, D.J.
  • Sarkar, I.N.

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.

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