The proposed research is for developing specifications for an intelligent data base model that will be the basis for an intelligent data base management system (IDBMS). Information needs of system users frequently change. Efficient information systems must be able to accommodate evolving information requirements; however, available information systems provide limited features for dynamic modification. An intelligent data base model comprised of three modules is proposed. These modules are (1) a Data Base Model Definer, (2) an Interpretation Definer, and (3) a Data Base/interpretation Organizer. The proposed model is based on the entity-relationship model and on research on artificial intelligence. Specifications for each module will be developed using the most recent research on knowledge representation. The result of this work will be specifications for an intelligent data base model wherein data are stored as entities that can be semantically interpreted or related, using additional facts and heuristics in the knowledge base to derive the desired information. The intelligent data base model is the first step in developing an IDBMS. It will provide the framework for intelligent information retrieval via the IDBMS.The potential commercial application as described by the awardee: IDBMSS, the next generation of information systems, will simulate human reasoning for revolutionary, more efficient information processing. Consequently, there is a large commercial market for directly distributing the IDBMS as well as for using the IDBMS to create expert systems.
