title: BioText Search Engine: beyond abstract search.
abstract: The BioText Search Engine is a freely available Web-based application that provides biologists with new ways to access the scientific literature. One novel feature is the ability to search and browse article figures and their captions. A grid view juxtaposes many different figures associated with the same keywords, providing new insight into the literature. An abstract/title search and list view shows at a glance many of the figures associated with each article. The interface is carefully designed according to usability principles and techniques. The search engine is a work in progress, and more functionality will be added over time.
  
  
  BACKGROUND
  http://biosearch.berkeley.edu.
authors.affiliation: School of Information, University of California, Berkeley, CA 94720, USA. hearst@ischool.berkeley.edu
authors.forename: Marti A
authors.initials: MA
authors.lastname: Hearst
authors.forename: Anna
authors.initials: A
authors.lastname: Divoli
authors.forename: Harendra
authors.initials: H
authors.lastname: Guturu
authors.forename: Alex
authors.initials: A
authors.lastname: Ksikes
authors.forename: Preslav
authors.initials: P
authors.lastname: Nakov
authors.forename: Michael A
authors.initials: MA
authors.lastname: Wooldridge
authors.forename: Jerry
authors.initials: J
authors.lastname: Ye
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D001185:Artificial Intelligence; D001695:Biology / Q000379:methods*; D003628:Database Management Systems; D016206:Databases, Bibliographic; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing