Paper Info
Title
Task-based information management
Abstract
Effective collaboration in fast-changing environment can put great dem ands on a collaborator's time. Therefore, information retrieval and filtering tools for these environments should impose as little on that time as possible. Not only should they exclude as many irrelevant documents as possible from those presented to the user (to avoid the time wasted sorting through and reading those documents), they should also minimize the user's effort in characterizing his or her information needs. The goal of the Task-based Information Distribution Environment (TIDE) system is to achieve these objectives by explicitly representing each collaborator's current task and using those representations to deliver documents that meet the information needs implied by those tasks. It does this by treating information gathering as a diagnosis problem, in which the situation (i.e., the current state of beliefs about various questions related to a task) leads probabilistically to test that will provide the most evidence toward reaching a diagnosis (i.e., a description of the documents most likely to be useful to that task). It encodes tasks as nodes in a Bayesian network, and computes document descriptions based on the probabilistic relationship among tasks and their corresponding information requirements.
Year
DOI
Venue
1999
10.1145/323216.323357
ACM Comput. Surv.
Keywords
Field
DocType
information need,information retrieval,bayesian network,information management,distributed environment
Data mining,Information management,Cognitive models of information retrieval,Information needs,Information retrieval,Personal information management,Computer science,Bayesian network,Relevance (information retrieval),Probabilistic logic,Information filtering system
Journal
Volume
Issue
ISSN
31
2es
0360-0300
Citations 
PageRank 
References 
4
0.59
4
Authors
1
Name
Order
Citations
PageRank
Michael Wolverton126428.16