PRINCIPLES OF DESIGN FOR KNOWLEDGE ACQUISITION.

Thomas Gruber, Paul R Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The authors explore the hypothesis that the design of a knowledge system architecture--the choice of representational primitives and their accompanying interpreter--is central to success at knowledge acquisition. Principles of 'design for acquisition' are presented, and it is shown how they are applied in the architecture of a medical expert system called MUM. One result is that design for acquisition can make it possible to acquire, directly from experts, types of knowledge traditionally programmed in by the knowledge engineer. A second result is that following the same design principles makes it possible to use conventional data entry technology (form-filling interfaces) to partially automate knowledge acquisition. A negative result is that good design alone is insufficient to facilitate knowledge acquisition. The limits of design for acquisition are illustrated with a case in which its principles conflict; it is difficult to represent general procedural knowledge without violating one or more of the design principles. For this kind of knowledge, an integration of form-filling approaches and induction form cases is proposed.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages9-15
Number of pages7
ISBN (Print)0818607637
StatePublished - 1987
Externally publishedYes

Fingerprint

Knowledge acquisition
Expert systems
Data acquisition
Engineers

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Gruber, T., & Cohen, P. R. (1987). PRINCIPLES OF DESIGN FOR KNOWLEDGE ACQUISITION. In Unknown Host Publication Title (pp. 9-15). IEEE.

PRINCIPLES OF DESIGN FOR KNOWLEDGE ACQUISITION. / Gruber, Thomas; Cohen, Paul R.

Unknown Host Publication Title. IEEE, 1987. p. 9-15.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gruber, T & Cohen, PR 1987, PRINCIPLES OF DESIGN FOR KNOWLEDGE ACQUISITION. in Unknown Host Publication Title. IEEE, pp. 9-15.
Gruber T, Cohen PR. PRINCIPLES OF DESIGN FOR KNOWLEDGE ACQUISITION. In Unknown Host Publication Title. IEEE. 1987. p. 9-15
Gruber, Thomas ; Cohen, Paul R. / PRINCIPLES OF DESIGN FOR KNOWLEDGE ACQUISITION. Unknown Host Publication Title. IEEE, 1987. pp. 9-15
@inproceedings{d8cfcc2d1168414e9ea2224e4b646035,
title = "PRINCIPLES OF DESIGN FOR KNOWLEDGE ACQUISITION.",
abstract = "The authors explore the hypothesis that the design of a knowledge system architecture--the choice of representational primitives and their accompanying interpreter--is central to success at knowledge acquisition. Principles of 'design for acquisition' are presented, and it is shown how they are applied in the architecture of a medical expert system called MUM. One result is that design for acquisition can make it possible to acquire, directly from experts, types of knowledge traditionally programmed in by the knowledge engineer. A second result is that following the same design principles makes it possible to use conventional data entry technology (form-filling interfaces) to partially automate knowledge acquisition. A negative result is that good design alone is insufficient to facilitate knowledge acquisition. The limits of design for acquisition are illustrated with a case in which its principles conflict; it is difficult to represent general procedural knowledge without violating one or more of the design principles. For this kind of knowledge, an integration of form-filling approaches and induction form cases is proposed.",
author = "Thomas Gruber and Cohen, {Paul R}",
year = "1987",
language = "English (US)",
isbn = "0818607637",
pages = "9--15",
booktitle = "Unknown Host Publication Title",
publisher = "IEEE",

}

TY - GEN

T1 - PRINCIPLES OF DESIGN FOR KNOWLEDGE ACQUISITION.

AU - Gruber, Thomas

AU - Cohen, Paul R

PY - 1987

Y1 - 1987

N2 - The authors explore the hypothesis that the design of a knowledge system architecture--the choice of representational primitives and their accompanying interpreter--is central to success at knowledge acquisition. Principles of 'design for acquisition' are presented, and it is shown how they are applied in the architecture of a medical expert system called MUM. One result is that design for acquisition can make it possible to acquire, directly from experts, types of knowledge traditionally programmed in by the knowledge engineer. A second result is that following the same design principles makes it possible to use conventional data entry technology (form-filling interfaces) to partially automate knowledge acquisition. A negative result is that good design alone is insufficient to facilitate knowledge acquisition. The limits of design for acquisition are illustrated with a case in which its principles conflict; it is difficult to represent general procedural knowledge without violating one or more of the design principles. For this kind of knowledge, an integration of form-filling approaches and induction form cases is proposed.

AB - The authors explore the hypothesis that the design of a knowledge system architecture--the choice of representational primitives and their accompanying interpreter--is central to success at knowledge acquisition. Principles of 'design for acquisition' are presented, and it is shown how they are applied in the architecture of a medical expert system called MUM. One result is that design for acquisition can make it possible to acquire, directly from experts, types of knowledge traditionally programmed in by the knowledge engineer. A second result is that following the same design principles makes it possible to use conventional data entry technology (form-filling interfaces) to partially automate knowledge acquisition. A negative result is that good design alone is insufficient to facilitate knowledge acquisition. The limits of design for acquisition are illustrated with a case in which its principles conflict; it is difficult to represent general procedural knowledge without violating one or more of the design principles. For this kind of knowledge, an integration of form-filling approaches and induction form cases is proposed.

UR - http://www.scopus.com/inward/record.url?scp=0023247795&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0023247795&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0023247795

SN - 0818607637

SP - 9

EP - 15

BT - Unknown Host Publication Title

PB - IEEE

ER -