LigerCat : using “MeSH clouds” from journal, article, or gene citations to facilitate the identification of relevant biomedical literature
Sarkar, Indra Neil
Norton, Cathy N.
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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.
© AMIA, 2009. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose. The definitive version was published in AMIA Annual Symposium Proceedings 2009: 563-567.