Data management for knowledge-based systems

In recent years, expert systems have gained a large popularity in Computer Science as a result of the improvement made in Artificial Intelligence research and the announcement of the fifth generation computers. However, the design and implementation of large computerized knowledge bases have raised new data management problems. This thesis explores the new problems facing conventional Data Base Management Systems (DBMSs). It surveys the knowledge representation in Databases, Artificial Intelligence, and Programming Languages in order to search representation schemes for DALI, a Knowledge Base Management System. The concepts of DALI are discussed and the data model S-diagram used for knowledge base design is described. Furthermore, the features of DALI are compared with those of DBMSs; the advantages and disadvantages of DALI are examined. In its first version, the framework of DALI contains a schema compiler, a pattern matcher, and a storage structure program. The design and implementation of these essential components are described in detail.