title: A medical digital library to support scenario and user-tailored information retrieval.
abstract: Current large-scale information sources are designed to support general queries and lack the ability to support scenario-specific information navigation, gathering, and presentation. As a result, users are often unable to obtain desired specific information within a well-defined subject area. Today's information systems do not provide efficient content navigation, incremental appropriate matching, or content correlation. We are developing the following innovative technologies to remedy these problems: 1) scenario-based proxies, enabling the gathering and filtering of information customized for users within a pre-defined domain; 2) context-sensitive navigation and matching, providing approximate matching and similarity links when an exact match to a user's request is unavailable; 3) content correlation of documents, creating semantic links between documents and information sources; and 4) user models for customizing retrieved information and result presentation. A digital medical library is currently being constructed using these technologies to provide customized information for the user. The technologies are general in nature and can provide custom and scenario-specific information in many other domains (e.g., crisis management).
authors.affiliation: Department of Computer Science, University of California at Los Angeles, 90095, USA.
authors.forename: W W
authors.initials: WW
authors.lastname: Chu
authors.forename: D B
authors.initials: DB
authors.lastname: Johnson
authors.forename: H
authors.initials: H
authors.lastname: Kangarloo
mesh_terms: D003628:Database Management Systems; D016247:Information Storage and Retrieval; D007993:Libraries, Medical