The Next Generation of Information Systems: From Data to Knowledge A Selection of Papers Presented at Two IJCAI-91 Workshops, Sydney, Australia, August 26, 1991 / edited by Michael P. Papazoglou, John Zeleznikow.

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 req...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Papazoglou, Michael P. (Editor), Zeleznikow, John (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1992.
Edition:1st ed. 1992.
Series:Lecture Notes in Artificial Intelligence ; 611
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Table of Contents:
  • The next generation of information systems — from intelligence to distribution and cooperation
  • A data and operation model for advanced database systems
  • An object-oriented data model to represent uncertainty in coupled artificial intelligence — database systems
  • Common architectures for databases and knowledge-based systems
  • The construction of maintainable knowledge bases
  • Adding qualitative reasoning to an organizational database for management decision support
  • Building human-centered intelligent cooperative information systems with IKEA
  • Database organisation for qualitative analysis: the NUDIST™ system
  • Using a prolog engine to integrate multiple knowledge sources: the KCM/Help-desk project
  • From relations to objects: A translation methodology for an object oriented front-end to RDBMSs
  • A framework for cooperative adaptable information systems
  • Problem solving in federative environments: The FRESCO concept of cooperative agents
  • Heterogeneous database integration architecture based on a conversation theoretic skeleton
  • Coarse-grained distributed agents for transparent access to remote information
  • A forward-chaining information framework
  • Using negotiation and coordination in multiagent Intelligent Cooperative Information Systems
  • A distributed cooperative agents architecture for software development
  • Knowledge selection in large knowledge bases.