Distributed knowledge-based learning system for information retrieval
MINDS (Multiple Intelligent Node Document Servers) is a distributed system of knowledge-based query engines for efficiently retrieving multimedia documents in an office environment of distributed workstations. By learning document distribution patterns, as well as user interests and preferences during system usage, it customizes document retrievals for each user. The nodes cooperate by sharing knowledge (documents and their properties) metaknowledge (distribution of documents from individual user viewpoints) and query-processing tasks. An architecture for the intelligent node has been presented. The expert query handler uses the metaknowledge stored at the node to plan task and query decompositions while the expert document manager performs routine document handling activities and uses domain-level heuristics for acquiring and updating metaknowledge. A two-layer learning system was implemented for studying plausible heuristics.
- Research Organization:
- South Carolina Univ., Columbia (USA)
- OSTI ID:
- 5673161
- Country of Publication:
- United States
- Language:
- English
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