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Information Systems and Artificial Intelligence: Integration Aspects

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

  • Conference proceedings
  • © 1991

Overview

Editors:
  1. Dimitris Karagiannis
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 474)

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Table of contents (17 papers)

  1. Front Matter

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  2. A semantics for the integration of database modifications and transaction brackets into a logic programming language

    • Stefan Böttcher
    Pages 1-10

  3. Handling incomplete knowledge in artificial intelligence

    • Gerhard Brewka
    Pages 11-29

  4. Negation in logic programming: A formalization in constructive logic

    • François Bry
    Pages 30-46

  5. Database support for knowledge representation?

    • G. Görz
    Pages 47-61

  6. A KBMS for BABYLON

    • Dieter Hovekamp, Michael Sandfuchs
    Pages 62-86

  7. Database concepts for the support of knowledge-based systems

    • Thomas Ludwig, Bernd Walter
    Pages 87-103

  8. Integrity and recursion: two key issues for deductive databases

    • Rainer Manthey
    Pages 104-126

  9. An approach to DBS-based knowledge management

    • Nelson Mattos
    Pages 127-152

  10. Knowledge bases and databases: Current trends and future directions

    • John Mylopoulos, Michael Brodie
    Pages 153-180

  11. Terminological reasoning and information management

    • Bernhard Nebel, Christof Peltason
    Pages 181-212

  12. Conceptual modeling of database applications

    • Gunter Saake
    Pages 213-232

  13. Information analysis: A step by step clarification of knowledge and requirements

    • Helmut Thoma
    Pages 233-255

  14. Model-based knowledge acquisition

    • Angi Voß
    Pages 256-272

  15. Practical experiences — a panel session

    • Helmut Thoma
    Pages 273-273

  16. Practical experiences in coupling knowledge base and database in a productive environment

    • Hans-Peter Hoidn
    Pages 274-282

  17. Performance measurements and analyses of coupling approaches of database and expert systems and consequences to their integration

    • Nelson Mattos
    Pages 283-288

  18. Integration of AI systems in conventional environments

    • Wolfgang Sager
    Pages 289-293
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Keywords

About this book

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.

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