The Next Generation of Information Systems: From Data to Knowledge

1. Front Matter

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2. The next generation of information systems — from intelligence to distribution and cooperation

   • M. P. Papazoglou, J. Zeleznikow

   Pages 1-8

3. A data and operation model for advanced database systems

   • Scott Danforth, Eric Simon, INRIA-Rocquencourt

   Pages 9-36

4. An object-oriented data model to represent uncertainty in coupled artificial intelligence — database systems

   • R. George, B. P. Buckles, F. E. Petry

   Pages 37-48

5. Common architectures for databases and knowledge-based systems

   • I. E. Jelly, J. P. Gray

   Pages 49-57

6. The construction of maintainable knowledge bases

   • John Debenham

   Pages 58-78

7. Adding qualitative reasoning to an organizational database for management decision support

   • H. S. Yuen, S. Ho, J. Zeleznikow

   Pages 79-103

8. Building human-centered intelligent cooperative information systems with IKEA

   • Markus Stolze, Matthias Gutknecht, Rolf Pfeifer

   Pages 104-115

9. Database organisation for qualitative analysis: the NUDIST™ system

   • Tom Richards, Lyn Richards

   Pages 116-133

10. Using a prolog engine to integrate multiple knowledge sources: the KCM/Help-desk project

    • Richard Bland, Jim Cowie, Tom Kane, Charles Rattray, Ian Wilson

    Pages 134-147

11. From relations to objects: A translation methodology for an object oriented front-end to RDBMSs

    • L. Marinos, R. A. Smit

    Pages 148-167

12. A framework for cooperative adaptable information systems

    • John Vittal, Bernard Silver, William Frawley, Glenn Iba, Tom Fawcett, Susan Dusseault et al.

    Pages 169-184

13. Problem solving in federative environments: The FRESCO concept of cooperative agents

    • Kirn Stefan, Scherer Andreas, Schlageter Gunter

    Pages 185-203

14. Heterogeneous database integration architecture based on a conversation theoretic skeleton

    • Peter Bernus

    Pages 204-222

15. Coarse-grained distributed agents for transparent access to remote information

    • Steven C. Laufmann

    Pages 223-237

16. A forward-chaining information framework

    • Jay C. Weber

    Pages 238-250

17. Using negotiation and coordination in multiagent Intelligent Cooperative Information Systems

    • Keith J. Werkman

    Pages 251-270

18. A distributed cooperative agents architecture for software development

    • Jeffrey J. -P. Tsai, Ray-Yuan Sheu

    Pages 271-290

19. Knowledge selection in large knowledge bases

    • Dimitris Karagiannis, Franz J. Kurfeß, Heinz-Wilhelm Schmidt

    Pages 291-310

20. Back Matter

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Traditional database systems have been able to manipulate large amounts of data efficiently, whilst artificial intelligence (and in particular expert systems) have reasoned with rules, but rarely with data. It has become evident that to build truly intelligent information systems, facilities are required from artificial intelligence and database and distributed technologies. This book consists of seventeen selected and revised papers on the next generation of information systems, based on papers presented at two workshops, one on integrating artificial intelligence and databases, and the other on intelligent and cooperating information systems. The papers address several core issues, such as intelligence, distribution, and multi-agent/cooperative systems, and focuses on designing and building such systems mainly through the use of intelligent agents. The book presents up-to-date developments in this interdisciplinary field, covering information systems, artificial intelligence, and distributed systems.

• Agentensysteme
• Cooperative Problem Solving
• DBMS
• Deductive Databases
• Deduktive Datenbanken
• Intelligent Information Systems
• Intelligente Informationssysteme
• Kooperatives Problemlösen
• Object-Oriented Databases
• architectures
• distributed systems
• expert system
• knowledge
• knowledge base
• problem solving

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