Design and implementation of the CALO query manager

Authors:
Jose-Luis Ambite;Vinay K. Chaudhri;Richard Fikes;Jessica Jenkins;Sunil Mishra;Maria Muslea;Tomas Uribe;Guizhen Yang
Affiliations:
USC Information Sciences Institute, Marina del Rey, CA;Artificial Intelligence Center, SRI International, Menlo Park, CA;Knowledge Systems Group, Artificial Intelligence Laboratory, Stanford University, Stanford, CA;Knowledge Systems Group, Artificial Intelligence Laboratory, Stanford University, Stanford, CA;Artificial Intelligence Center, SRI International, Menlo Park, CA;USC Information Sciences Institute, Marina del Rey, CA;Artificial Intelligence Center, SRI International, Menlo Park, CA;Artificial Intelligence Center, SRI International, Menlo Park, CA
Venue:
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
Year:
2006

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Abstract

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 schema that serves as the basis for integration. We have evaluated the system on a suite of test queries in a realistic application to verify the practicality of our approach.