An Adaptive Agent Society for Environmental Scanning through the Internet
PRIMA 2001 Proceedings of the 4th Pacific Rim International Workshop on Multi-Agents, Intelligent Agents: Specification, Modeling, and Applications
Distributed agents for cost-effective monitoring of critical success factors
Decision Support Systems
Incremental mining of information interest for personalized web scanning
Information Systems
Intelligent information retrieval
International Journal of Advanced Media and Communication
Incremental mining of information interest for personalized web scanning
Information Systems
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Effective information gathering on the WWW is a complex task requiring planning, scheduling, text processing, and interpretation-style reasoning about extracted data to resolve inconsistencies and to refine hypothesis about the data. This paper describes the rationale, architecture, and implementation of a next generation information gathering system -- a system that integrates several areas of AI research under a single research umbrella. The goal of this system is to exploit the vast amount of information sources available today on the NII including a growing number of digital libraries, independent news agencies, government agencies, as well as human experts providing a variety of services. The large number of information sources and their different levels of accessibility, reliability and associated costs present a complex information gathering coordination problem. Our solution 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.