Literature DB >> 17392332

uBioRSS: tracking taxonomic literature using RSS.

Patrick R Leary1, David P Remsen, Catherine N Norton, David J Patterson, Indra Neil Sarkar.   

Abstract

UNLABELLED: 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. AVAILABILITY: http://names.ubio.org/rss/

Entities:  

Mesh:

Year:  2007        PMID: 17392332     DOI: 10.1093/bioinformatics/btm109

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

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4.  Applications of natural language processing in biodiversity science.

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5.  "gnparser": a powerful parser for scientific names based on Parsing Expression Grammar.

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6.  Constructing a biodiversity terminological inventory.

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7.  Utilizing descriptive statements from the biodiversity heritage library to expand the Hymenoptera Anatomy Ontology.

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Review 9.  Linking genes to literature: text mining, information extraction, and retrieval applications for biology.

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Journal:  PLoS One       Date:  2014-03-03       Impact factor: 3.240

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