A script-based approach to modifying knowledge bases

Authors:
Yolanda Gil;Marcelo Tallis
Affiliations:
Information Sciences Institute, University of Southern California, Marina del Rey, CA;Information Sciences Institute, University of Southern California, Marina del Rey, CA
Venue:
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Year:
1997

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Abstract

Our goal is to build knowledge acquisition tools that support users in modifying knowledge-based systems. These modifications may require several individual changes to various components of the knowledge base, which need to be carefully coordinated to prevent users from leaving the knowledge-based system in an unusable state. This paper describes an approach to building knowledge acquisition tools which capture knowledge about commonly occurring modification sequences and support users in completing the modifications they start. These sequences, which we call KA Scripts, relate individual changes and the effects that they have on the knowledge base. We discuss our experience in designing and compiling a library of KA Scripts. We also describe the implementation of a tool that uses them and our preliminary evaluations that demonstrate their usability.