MOOD: A Knowledgebase System with Objectoriented Deduction
Rudolf Bayer · Database Systems for Advanced Applications · 1991
Object-oriented Database Systems offer certain advantages over Deductive Database Systems by providing techniques for dealing with complex objects and hierarchies of object classes. Often, however, such systems fall back onto procedural or even navigational techniques for querying and manipulating object bases. The prime goal of the MOOD project is to integrate concepts of Object-oriented and Deductive Databases by: providing powerful knowledge modelling techniques via class hierarchies of complex objects dealing with objectbases primarily in a nonprocedural, declarative way handling large objectbases efficiently The talk covers the essential concepts of the MOOD project and the overall architecture of the MOOD system. A modelling example from automobile logistics is discussed in some detail, which requires both object-oriented and deductive specification techniques. The paper also describes the implementation technology based on the Deductive Database System LOLA and a parallel version of the Relational Database System TransBase.