Knowledge Based System and Database Management System

Abstract

Knowledge based management systems has gained significant importance in the last few years, primarily from the enhanced capabilities achieved through integration of the two technologies - artificial intelligence and database management systems. This paper develops a framework for integrating the two technologies. The three dimensional framework links the various knowledge representation schemes with the data models used in databases and the architectures used for linking the knowledge base with the database system. This framework facilitates in communicating the latest developments in the field of knowledge based management systems and also aids the designer in making the appropriate choice from the various options available within the two technologies. The research systems in the field are mapped onto the framework. An analysis of the mapping reveals that some research areas are more popular than others. Rule-based knowledge representation with loose coupling to relational databases are found to be popular for integrating the two systems. Integrated solutions with object-oriented formalisms are also becoming common in recent years. Potential areas for future research are identified. Also, the implications of the research for the practitioner and the strategies for commercial exploitation of KBMS are discussed.