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dc.contributor.authorLeary, Patrick R.
dc.contributor.authorRemsen, David P.
dc.contributor.authorNorton, Cathy N.
dc.contributor.authorPatterson, David J.
dc.contributor.authorSarkar, Indra Neil
dc.date.accessioned2007-03-28T19:15:51Z
dc.date.available2007-03-28T19:15:51Z
dc.date.issued2007-03-28
dc.identifier.citationBioinformatics 23 (2007): 1434-1436en
dc.identifier.urihttp://hdl.handle.net/1912/1539
dc.description© 2007 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The definitive version was published in Bioinformatics 23 (2007): 1434-1436, doi:10.1093/bioinformatics/btm109.en
dc.description.abstractWeb 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, then uses a taxonomic name 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherOxford University Pressen
dc.relation.urihttp://dx.doi.org/10.1093/bioinformatics/btm109
dc.rights.urihttp://creativecommons.org/licenses/by-nc/2.0/uk/*
dc.titleuBioRSS : tracking taxonomic literature using RSSen
dc.typeArticleen
dc.identifier.doi10.1093/bioinformatics/btm109


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