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Knowledge Acquisition: Selected Research and Commentary

A Special Issue of Machine Learning on Knowledge Acquisition

  • Sandra Marcus

Part of the Machine Learning book series (SECS, volume 92)

Table of contents

About this book

Introduction

What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro­ duced by authors who were basically invited to sound off. I've tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan's editorial starts on the theme of "Can machine learning offer anything to expert systems?" He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat's editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes with the growth of the knowledge base. The paper describes two systems. The first, Protos, adjusts the training it expects and the assistance it provides as its knowledge grows. The second, KI, is a system that helps integrate knowledge into an already very large knowledge base.

Keywords

artificial intelligence expert system knowledge knowledge base knowledge-based system knowledge-based systems learning machine learning modeling

Editors and affiliations

  • Sandra Marcus
    • 1
  1. 1.Boeing Computer ServicesSeattleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-1531-5
  • Copyright Information Springer-Verlag US 1990
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-8821-3
  • Online ISBN 978-1-4613-1531-5
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site