Title
BIG: an agent for resource-bounded information gathering and decision making
Abstract
The World Wide Web has become an invaluable information resource but the explosion of available information has made Web search a time consuming and complex process. The large number of information sources and their different levels of accessibility, reliability and associated costs present a complex information gathering control problem. This paper describes the rationale, architecture, and implementation of a next generation information gathering system—a system that integrates several areas of Artificial Intelligence research under a single umbrella. Our solution to the information explosion is an information gathering agent, BIG, that plans to gather information to support a decision process, reasons about the resource trade-offs of different possible gathering approaches, extracts information from both unstructured and structured documents, and uses the extracted information to refine its search and processing activities. © 2000 Elsevier Science B.V. All rights reserved.
Year
DOI
Venue
2000
10.1016/S0004-3702(00)00005-9
Artificial Intelligence - Special issue on Intelligent internet systems
Keywords
Field
DocType
scheduling,planning,information gathering,text processing,information agents,information systems,resource-bounded information gathering,world wide web,artificial intelligent
Information system,Data science,Management information systems,Architecture,Scheduling (computing),Computer science,Information explosion,Information quality,Text processing,Bounded function
Journal
Volume
Issue
ISSN
118
1-2
0004-3702
Citations 
PageRank 
References 
55
3.57
34
Authors
6
Name
Order
Citations
PageRank
Victor R. Lesser156181928.77
Bryan Horling280254.75
Frank Klassner322735.41
Anita Raja430027.86
Thomas Wagner531026.96
Shelley XQ. Zhang6553.57