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Lecture Notes in Computer Science
We report on our experience in developing a query answering system that integrates multiple knowledge sources. The system is based on a novel architecture for combining knowledge sources in which the sources can produce new subgoals as well as ground facts in the search for answers to existing subgoals. The system uses a query planner that takes into account different query processing capabilities of individual sources and augments them gracefully. A reusable ontology provides a mediated schemadoi:10.1007/11575863_15 fatcat:dzfvug33p5dixiaza2jrfnctba