Part 1 Concepts: information, expertise and knowledge management; intelligent, knowledge-based and expert systems; applications. Part 2 Intelligent systems - techniques: rule-based systems; semantic networks; frames; object-orientated systems; grammar rules; reasoning with uncertainty; blackboards; machine learning - automatic rule induction; machine learning - neural networks. Part 3 Applications: indexing, abstracting and thesaurus construction; cataloguing; text retrieval - keyword/Boolean systems; text retrieval - non-keyword/Boolean systems; automatic content analysis and knowledge representation; intelligent relational database access and management; intelligent documents; training; database analysis. Part 4 Building intelligent systems: getting started; getting serious; tools; the limitations of techniques. Part 5 Knowledge management: data, information, knowledge and expertise; knowledge technology and decision support; from information to knowledge management.
