Abstract

A critical problem in building an information mediator is how to translate a domain-level queries into an efficient query plan for accessing the required data. We have built a flexible and efficient information mediator, called SIMS. SIMS takes a domain-level query and dynamically selects the appropriate information sources based on their content and availability, generates a query access plan that specifies the operations and their order for processing the data, and then performs semantic query reformulation to minimize the overall execution time. This paper describes these three basic components of the query processing in SIMS.

Date

July 15, 1994

Authors

Yigal Arens, Chin Chee, Chun-Nan Hsu, Hoh In, Craig A Knoblock

Journal

ARPA/Rome Laboratory Knowledge-based Planning and Scheduling Initiative Workshop Proceedings, Tuscon, Arizona, February 21-24, 1994

Pages

339

Publisher

Morgan Kaufmann