ONTOLOGICAL ANALYSIS - AN ONGOING EXPERIMENT

被引：12

作者：

ALEXANDER, JH ^{[1
]}

FREILING, MJ ^{[1
]}

SHULMAN, SJ ^{[1
]}

REHFUSS, S ^{[1
]}

MESSICK, SL ^{[1
]}

机构：

[1] TEKTRONIX LABS,COMP RES LAB,BEAVERTON,OR 97077

来源：

INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES | 1987年 / 26卷 / 04期

关键词：

ARTIFICIAL INTELLIGENCE - Expert Systems - COMPUTER SIMULATION LANGUAGES;

D O I：

10.1016/S0020-7373(87)80082-2

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Knowledge engineering is a complex activity which is permeated with problems inherent in the difficulties of choosing the correct abstractions. Knowledge-level analysis has been suggested as a technique to help manage this complexity. We have previously presented a methodology, called ontological analysis, which provides a technique for performing knowledge-level analysis of a problem space. This paper presents the experiences we have gained with knowledge-level analysis. Our experiences are reported and the criteria for a formal knowledge-level analysis language are discussed.

引用

页码：473 / 485

页数：13

共 18 条

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[2]

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[3]

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[4]

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[7]

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[8]

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[9]

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[10]

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