LigerCat: Using "MeSH Clouds" from Journal, Article, or Gene Citations to Facilitate the Identification of Relevant Biomedical Literature
LigerCat: Using "MeSH Clouds" from Journal, Article, or Gene Citations to Facilitate the Identification of Relevant Biomedical Literature
复制标题
DOI：
--
复制
发表时间：
2009-11
期刊：
影响因子：
--
通讯作者：
I. Sarkar;Ryan Schenk;Holly Miller;Catherine N. Norton
中科院分区：
文献类型：
--
作者：
I. Sarkar;Ryan Schenk;Holly Miller;Catherine N. Norton
从大量文献中识别相关文献往往是一项具有挑战性的奋进。在诸如MEDLINE的索引资源的上下文中，已经表明来自受控词汇表的关键字（例如，MeSH）可以组合使用，以检索相关的搜索结果。识别潜在搜索词的一个有效策略是检查文档集合中频繁出现的词。通过这种方式，“标签云”是一种流行的机制，用于确定与文档集合相关联的术语。在这里，我们提出了文献和基因组电子资源目录（LigerCat）系统，用于通过选择“MeSH云”中的术语来探索生物医学文献，该云是基于使用期刊，文章或基因数据的初始查询生成的。生成的界面封装在Web界面中：http://ligercat.ubio.org。该系统也可以在MIT许可证下安装。
The identification of relevant literature from within large collections is often a challenging endeavor. In the context of indexed resources, such as MEDLINE, it has been shown that keywords from a controlled vocabulary (e.g., MeSH) can be used in combination to retrieve relevant search results. One effective strategy for identifying potential search terms is to examine a collection of documents for frequently occurring terms. In this way, "Tag clouds" are a popular mechanism for ascertaining terms associated with a collection of documents. Here, we present the Literature and Genomic Electronic Resource Catalogue (LigerCat) system for exploring biomedical literature through the selection of terms within a "MeSH cloud" that is generated based on an initial query using journal, article, or gene data. The resultant interface is encapsulated within a Web interface: http://ligercat.ubio.org. The system is also available for installation under an MIT license.