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Summary: Design and Implementation of the CALO Query Manager
Jose-Luis Ambite1
, Vinay K. Chaudhri2
, Richard Fikes3
, Jessica Jenkins3
, Sunil
Mishra2
, Maria Muslea1
, Tomas Uribe2
, Guizhen Yang2
1. USC Information Sciences Institute, Marina del Rey, CA 90292, USA
2. Artificial Intelligence Center, SRI International, Menlo Park, CA 94087, USA
3. Knowledge Systems Group, Artificial Intelligence Laboratory, Stanford University, Stanford, CA 94305, USA
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
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