Abstract | ||
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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 |
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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. Lesser | 1 | 5618 | 1928.77 |
Bryan Horling | 2 | 802 | 54.75 |
Frank Klassner | 3 | 227 | 35.41 |
Anita Raja | 4 | 300 | 27.86 |
Thomas Wagner | 5 | 310 | 26.96 |
Shelley XQ. Zhang | 6 | 55 | 3.57 |