Knowledge-based systems have been successfully developed in practice for a number of years. However, they are often "only" stand-alone systems; integrating them into existing information environments, e.g. making available real production data to an expert system, often either fails or is only solved in a dissatisfying way. Possible reasons for this might be on one hand the lack of know-how about the different features of various experimental AI techniques, and on the other the lack of more classical information and database system technology. The special interest groups "Knowledge Representation" and "Methods for the Development of Information Sys- tems and their Application" of the German Informatics Society (GI) organized a joint workshop in Ulm in March 1990 to discuss the integration of Artificial Intelligence and database technology. This volume contains the proceedings of the workshop.
Author(s): Stefan Böttcher (auth.), Dimitris Karagiannis (eds.)
Series: Lecture Notes in Computer Science 474
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1991
Language: English
Pages: 296
Tags: Database Management; Artificial Intelligence (incl. Robotics); Systems and Information Theory in Engineering; Business Information Systems; Software Engineering/Programming and Operating Systems
A semantics for the integration of database modifications and transaction brackets into a logic programming language....Pages 1-10
Handling incomplete knowledge in artificial intelligence....Pages 11-29
Negation in logic programming: A formalization in constructive logic....Pages 30-46
Database support for knowledge representation?....Pages 47-61
A KBMS for BABYLON....Pages 62-86
Database concepts for the support of knowledge-based systems....Pages 87-103
Integrity and recursion: two key issues for deductive databases....Pages 104-126
An approach to DBS-based knowledge management....Pages 127-152
Knowledge bases and databases: Current trends and future directions....Pages 153-180
Terminological reasoning and information management....Pages 181-212
Conceptual modeling of database applications....Pages 213-232
Information analysis: A step by step clarification of knowledge and requirements....Pages 233-255
Model-based knowledge acquisition....Pages 256-272
Practical experiences — a panel session....Pages 273-273
Practical experiences in coupling knowledge base and database in a productive environment....Pages 274-282
Performance measurements and analyses of coupling approaches of database and expert systems and consequences to their integration....Pages 283-288
Integration of AI systems in conventional environments....Pages 289-293
