SAIRE—a scalable agent-based information retrieval engine
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Mobile Agents for Distributed and Heterogeneous Information Retrieval
Information Retrieval
Sift and sort: climbing the semantic pyramid
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
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This paper describes extending the automated discovery mechanism of the Knowledge Encapsulation Framework (KEF) through the use of agent technology. KEF is a suite of tools to enable the linking of knowledge inputs (relevant, domain-specific evidence) to modeling and simulation projects, as well as other domains that require an effective collaborative workspace for knowledge-based tasks. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF design is described along with the new agent based knowledge management system, which addresses the weaknesses of the current knowledge acquisition approach.