Insights into the Design of Middle Agent Architectures: The Case of Multi-Agent Information Extraction

C. Curtis Cartmill and Robin Cohen

This paper describes our work on the acquisition of extraction patterns for an Information Extraction problem. In particular, we introduce a multi-agent architecture, identifying several possible middle agents, to allow agents representing users with similar interests to share knowledge. This research provides general insights into the value of user profiling, intelligent filtering and social responsibility, all of which may be important in e-commerce applications.

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