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Industrial Strength Knowledge Bases: Issues and Experiences - Knowledge Base Stability, Memory: Unitorm or Structured, Integrity, Knowledge Acquisition and the User Interface, Joint Knowledge Base Development, Intertaces to Databases (Panel)

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Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 108-108.

Abstract

Industrial Strength Knowledge Bases: Issues and Experiences Thomas P. Kehler, IntelliGenetics, Inc., Peter Friedland, Stanford University Harry Pople, Univ. of Pittsburgh, Rene' Reboh, SRI International Steve Rosenberg, Hewlett Packard Labs Recently we have entered an era of intense government and industrial interest in AI systems . In the development of robust AI systems, the role of the knowledge base is extremely important. A significant investment in knowledge base development will be made over the next few years. Consequently the adequacy of current techniques for the development and maintenance of large knowledge bases must be given critical review. Like database development in the early sixties, knowledge ba se development issues are likely to dominate AI system development. These issues are likely to drive the development of practical techniques as well as the refinement theoretical approaches.

Thomas P. Kehler, Peter Friedland, Harry E. Pople, René Reboh, and Steve Rosenberg. 1983. Industrial Strength Knowledge Bases: Issues and Experiences - Knowledge Base Stability, Memory: Unitorm or Structured, Integrity, Knowledge Acquisition and the User Interface, Joint Knowledge Base Development, Intertaces to Databases (Panel). In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83. IJCAI, 108–108. https://ijcai.org/proceedings/1983/28
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