Database-ori ented problem solving often involves the processing of deduction rules which may be recursive in relational database systems. In this kind of problem solving, expert knowledge plays an important role in the guidance of correct and efficient processing. This paper presents a modularized relational planner RELPLAN, which develops a knowledgedirected in ference and planning mechanism for efficient processing of deduction rules in relational DB systems. Introduct ion Relational

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... technology provides us with a power-To effectively augment expert knowledge in relational ful tool for in formation processing. The conventional use DB system. a relational problem solving planner of relational DB systems is aimed at the management and RELPLAN has been built. Similar to many expert sysretrieval of stored data. With the emerging research on tems, expert knowledge is encoded in RELPLAN in the expert database systems, expert system technologies are form of rules and incorporated with queries in deductive being merged into relational database systems and the compilation to answer queries and solve problems. In our application domains of relational DB technology are design, the modularizatio n of a rule system and the combeing expanded to those that require knowledge-gu ided pilation technique are emphasized. A modularized rule