Expert systems and artificial intelligence : an information manager's guide

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.