An active visual search interface for Medline.

TitleAn active visual search interface for Medline.
Publication TypeJournal Article
Year of Publication2007
AuthorsXuan, Weijian, Dai Manhong, Mirel Barbara, Wilson Justin, Athey Brian, Watson Stanley J., and Meng Fan
JournalComput Syst Bioinformatics Conf
Volume6
Pagination359-69
Date Published2007
ISSN1752-7791
KeywordsAbstracting and Indexing as Topic, Artificial Intelligence, Computer Graphics, Database Management Systems, Information Storage and Retrieval, Medical Subject Headings, MEDLINE, Natural Language Processing, User-Computer Interface
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.

Alternate JournalComput Syst Bioinformatics Conf
PubMed ID17951838
Grant List1U54DA021519-01A1 / DA / NIDA NIH HHS / United States