Paper Info
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 the retrieved information and the presentation of results. 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).
Year
DOI
Venue
2000
10.1109/4233.845202
IEEE Transactions on Information Technology in Biomedicine
Keywords
Field
DocType
digital libraries,information retrieval,medical information systems,user modelling,approximate content matching,content correlation,content-based proxies,content-based retrieval,context-sensitive matching,context-sensitive navigation,crisis management,customized results presentation,document content navigation,general queries,incremental matching,information filtering,information gathering,information navigation,information presentation,information systems,large-scale information sources,medical digital library,medical information systems,pre-defined domain,scenario-based proxies,scenario-specific information retrieval,semantic links,similarity links,user models,user-tailored information retrieval
Information system,Information integration,Data mining,World Wide Web,Information retrieval,Computer science,Medical library,Filter (signal processing),Specific-information,Crisis management,Digital library,Information filtering system
Journal
Volume
Issue
ISSN
4
2
1089-7771
Citations 
PageRank 
References 
7
2.57
36
Authors
3
Name
Order
Citations
PageRank
Wesley W. Chu12311789.42
Johnson, D.B.272.57
Hooshang Kangarloo310417.48