uBioRSS: Tracking taxonomic literature using RSS
uBioRSS: Tracking taxonomic literature using RSS
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DOI：
10.1093/bioinformatics/btm109
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发表时间：
2007-06-01
期刊：
影响因子：
5.8
通讯作者：
Sarkar, Indra Neil
中科院分区：
文献类型：
--
作者：
Leary, Patrick R.;Remsen, David P.;Sarkar, Indra Neil
通过RSS和ATOM等标准格式的网络内容联合已成为出版商、新闻来源和博客传播定期更新内容的一种日益流行的机制。这些标准化的联合格式将内容直接交付给订阅者，允许他们在本地聚合来自各种来源的内容，而不必在多个网站上查找信息。uBioRSS应用程序是为生物科学定制的“分类智能”服务。它聚合来自学术出版商和科学新闻源的联合内容，然后使用分类命名实体识别算法来识别和索引这些数据流中的分类名称。由此产生的名称索引与当前的全球分类数据集交叉引用，以提供按分类组浏览出版物的上下文。这一过程称为分类索引，利用专门为生物科学开发的服务，统称为“分类智能”。这种增值增强可以为生物学家提供更快和更好的访问当前生物内容的机会。
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.