%0 Book %D 1993 %T Information mediation techniques for problem solving with multiple knowledge servers %A Dorr, Bonnie J %A Raschid, Louiqa %X This paper describes two important information mediation prob-lems that arise when multiple knowledge and data servers are accessed for problem solving. The rst problem is building an intelligent interface be- tween a knowledge server (KS) and a processor (KP) so that queries may be answered intelligently and completely. The second problem is to provide interoperability among multiple KP/KS pairs so that a query may be an- swered using information from multiple sources. We present example scenar- ios which highlight each of these problems and then outline techniques and tasks that are applied towards obtaining a solution. These techniques draw upon disciplines such as query and transaction processing with knowledge bases and machine understanding and translation of natural language. The techniques for solving the information mediation problems described involve parameterized canonical representations (CR) for the KP/KS pairs. The CR will represent possible mappings between a query and the knowledge model and will be used during query transformation to produce a query which will provide more complete and correct answers. Parameterization will help in merging CRs to support interoperability for distributed problem solving. %I University of Maryland %8 1993/// %G eng