Integration of Heterogeneous Knowledge Sources in the CALO Query Manager
by Ambite, Jose-Luis and Chaudhri, Vinay K. and Fikes, Richard and Jenkins, Jessica and Mishra, Sunil and Muslea, Maria and Uribe, Tomas and Yang, Guizhen
August 2005.
Note: Technical Report
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.
Cognitive Assistant that Learns and Organizes
As part of DARPA’s Perceptive Agent that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).