Acquiring and Structuring Web Content with Knowledge Level Models

Increasingly diverse and useful information repositories are being made available over the World Wide Web (WWW). However, information retrieved from the Web is often of limited use for problem solving because it lacks task-relevance, structure and context. This research draws on software agency as a medium through which model-driven knowledge engineering techniques can be applied to the WWW. The IMPS (Internet-based Multiagent Problem Solving) architecture described here involves software agents that can conduct structured on-line knowledge acquisition using distributed knowledge sources. Agent-generated domain ontologies are used to guide a flexible system of autonomous agents arranged in a server architecture.

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