文章基本信息

标题：Effective Navigation of Query Results for Knowledge on Data Engineering
本地全文：下载
作者：M. Sreedevi
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：4
出版社：S.S. Mishra
摘要：The MEDLINE database, on which the PubMed search engine operates, contains over 18 million citations, and the database is currently growing at the rate of 500,000 new citations each year. Other biological sources, such as Entrez Gene and OMIM, witness similar growth. As claimed in previous work, the ability to rapidly survey this literature constitutes a necessary step toward both the design and the interpretation of any large scale experiment. Biologists, chemists, medical and health scientists are used to searching their domain literature ¨C such as PubMed¨C using a keyword search interface. Currently, in an exploratory scenario where the user tries to find citations relevant to her line of research and hence not known a priori, she submits an initially broad keyword - based query that typically returns a large number of results. Subsequently, the user iteratively refines the query, if she has an idea of how to, by adding more keywords, and re-submits it, until a relatively small number of results are returned. This refinement process is problematic because after a number of iterations the user is not aware if she has over-specified the query, in which case relevant citations might be excluded from the final query result
关键词：MEDLine; PubMed; MeSH