title: An active visual search interface for Medline.
abstract: Searching the Medline database is almost a daily necessity for many biomedical researchers. However, available Medline search solutions are mainly designed for the quick retrieval of a small set of most relevant documents. Because of this search model, they are not suitable for the large-scale exploration of literature and the underlying biomedical conceptual relationships, which are common tasks in the age of high throughput experimental data analysis and cross-discipline research. We try to develop a new Medline exploration approach by incorporating interactive visualization together with powerful grouping, summary, sorting and active external content retrieval functions. Our solution, PubViz, is based on the FLEX platform designed for interactive web applications and its prototype is publicly available at: http://brainarray.mbni.med.umich.edu/Brainarray/DataMining/PubViz.
authors.affiliation: Molecular and Behavioral Neuroscience Institute and Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
authors.forename: Weijian
authors.initials: W
authors.lastname: Xuan
authors.forename: Manhong
authors.initials: M
authors.lastname: Dai
authors.forename: Barbara
authors.initials: B
authors.lastname: Mirel
authors.forename: Justin
authors.initials: J
authors.lastname: Wilson
authors.forename: Brian
authors.initials: B
authors.lastname: Athey
authors.forename: Stanley J
authors.initials: SJ
authors.lastname: Watson
authors.forename: Fan
authors.initials: F
authors.lastname: Meng
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D001185:Artificial Intelligence; D003196:Computer Graphics; D003628:Database Management Systems; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE; D046650:Medical Subject Headings; D009323:Natural Language Processing; D014584:User-Computer Interface