Information Systems and Artificial Intelligence: Integration Aspects

First Workshop, Ulm, FRG, March 19-21, 1990. Proceedings

Specificaties
Paperback, 296 blz. | Engels
Springer Berlin Heidelberg | 1991e druk, 1991
ISBN13: 9783540535577
Rubricering
Springer Berlin Heidelberg 1991e druk, 1991 9783540535577
Onderdeel van serie Lecture Notes in Computer Science
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783540535577
Taal:Engels
Bindwijze:paperback
Aantal pagina's:296
Uitgever:Springer Berlin Heidelberg
Druk:1991

Inhoudsopgave

A semantics for the integration of database modifications and transaction brackets into a logic programming language.- Handling incomplete knowledge in artificial intelligence.- Negation in logic programming: A formalization in constructive logic.- Database support for knowledge representation?.- A KBMS for BABYLON.- Database concepts for the support of knowledge-based systems.- Integrity and recursion: two key issues for deductive databases.- An approach to DBS-based knowledge management.- Knowledge bases and databases: Current trends and future directions.- Terminological reasoning and information management.- Conceptual modeling of database applications.- Information analysis: A step by step clarification of knowledge and requirements.- Model-based knowledge acquisition.- Practical experiences — a panel session.- Practical experiences in coupling knowledge base and database in a productive environment.- Performance measurements and analyses of coupling approaches of database and expert systems and consequences to their integration.- Integration of AI systems in conventional environments.

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        Information Systems and Artificial Intelligence: Integration Aspects