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A survey of knowledge acquisition techniques and tools 知识获取技术和工具综述
Knowledge Acquisition Pub Date : 1993-01-02 DOI: 10.1016/S1042-8143(89)80003-2
J. Boose
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引用次数: 235
Empirical evaluation of decision tables for constructing and comprehending expert system rules 用于构建和理解专家系统规则的决策表的实证评估
Knowledge Acquisition Pub Date : 1992-12-01 DOI: 10.1016/1042-8143(92)90004-K
Lucinio Santos-Gomez, Michael J. Darnell
{"title":"Empirical evaluation of decision tables for constructing and comprehending expert system rules","authors":"Lucinio Santos-Gomez,&nbsp;Michael J. Darnell","doi":"10.1016/1042-8143(92)90004-K","DOIUrl":"https://doi.org/10.1016/1042-8143(92)90004-K","url":null,"abstract":"<div><p>Two studies were designed to evaluate the efficiency of decision table representations for constructing and comprehending expert system rules by nonprogrammers with no experience in either knowledge engineering or expert systems. The first study compared the speed and accuracy of a decision table editor for constructing rules in a tabular representation relative to a standard text editor. Rules were constructed faster and more accurately with the decision table editor than with the text editor. The second study focused on the representational value of decision tables for comprehending expert system rules. In a verification task, subjects responded to questions of different types as accurately and rapidly as possible on the basis of the logical structure of a set of rules represented in either a decision table or textual format. The decision table showed an advantage only in situations where the diagrammatic, integral representation of the decision table expedited the perceptual and symbolic matching processes involved in the search.</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"4 4","pages":"Pages 427-444"},"PeriodicalIF":0.0,"publicationDate":"1992-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1042-8143(92)90004-K","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72066959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Empirical evaluation of decision tables for constructing and comprehending expert system rules 构建和理解专家系统规则的决策表实证评价
Knowledge Acquisition Pub Date : 1992-12-01 DOI: 10.1016/1042-8143(92)90004-K
L. Santos-Gomez, M. J. Darnell
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引用次数: 22
Conceptual modelling based on ontological principles 基于本体论原理的概念建模
Knowledge Acquisition Pub Date : 1992-12-01 DOI: 10.1016/1042-8143(92)90002-I
Klaus Wimmer, Nancy Wimmer
{"title":"Conceptual modelling based on ontological principles","authors":"Klaus Wimmer,&nbsp;Nancy Wimmer","doi":"10.1016/1042-8143(92)90002-I","DOIUrl":"https://doi.org/10.1016/1042-8143(92)90002-I","url":null,"abstract":"<div><p>We propose a method for constructing domain knowledge and explain it by using the office domain as an example. Our method produces generic concepts which cover the domain within their scope. They serve as tools for modelling applications, and enable model builders to adopt comprehensive and unbiased points of view. These concepts possess such practical properties because they implement ontological principles, i.e. the most important ways of viewing and discriminating a domain's objects. When built in a principled manner, domain concepts are highly modular; they can be refined and assembled without overlap to form case models. Ontological principles can further guide model builders in decomposing a modelling task.</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"4 4","pages":"Pages 387-406"},"PeriodicalIF":0.0,"publicationDate":"1992-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1042-8143(92)90002-I","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72066957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 30
Mutual implications and granularity 相互含义和粒度
Knowledge Acquisition Pub Date : 1992-12-01 DOI: 10.1016/1042-8143(92)90001-H
G. Armano
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引用次数: 0
Focus groups as a group knowledge acquisition technique 焦点小组作为一种群体知识获取技术
Knowledge Acquisition Pub Date : 1992-12-01 DOI: 10.1016/1042-8143(92)90003-J
M. Grabowski, Anne P. Massey, W. Wallace
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引用次数: 17
Metatool support for custom-tailored, domain-oriented knowledge acquisition Metatool支持定制、面向领域的知识获取
Knowledge Acquisition Pub Date : 1992-12-01 DOI: 10.1016/1042-8143(92)90005-L
Henrik Eriksson
{"title":"Metatool support for custom-tailored, domain-oriented knowledge acquisition","authors":"Henrik Eriksson","doi":"10.1016/1042-8143(92)90005-L","DOIUrl":"https://doi.org/10.1016/1042-8143(92)90005-L","url":null,"abstract":"<div><p>Metatool support for knowledge acquisition is an approach to automate the implementation of domain-specific knowledge-acquisition tools. D<span>ots</span> is a metatool that can be used by developers to generate domain-specific knowledge-acquisition tools. Whenever a domain model useful for expressing the relevant expertise can be established, developers can use D<span>ots</span> to specify and generate a knowledge-acquisition environment for development of expert systems. D<span>ots</span> assumes that the knowledge-acquisition tools generated are based on the knowledge-elicitation technique of graphical knowledge editing. A salient aspect of D<span>ots</span> is that no particular domain, task or problem-solving method is presupposed by the metatool. We achieve this generalization by introducing an <em>abstract-architecture</em> view—that is, an architectural model of the target knowledge-acquisition tool—as the framework for specifying target knowledge-acquisition tools. D<span>ots</span> provides facilities for editing this abstract architecture and for instantiating knowledge-acquisition tools from it.</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"4 4","pages":"Pages 445-476"},"PeriodicalIF":0.0,"publicationDate":"1992-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1042-8143(92)90005-L","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72066905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Metatool support for custom-tailored, domain-oriented knowledge acquisition 元工具支持定制的、面向领域的知识获取
Knowledge Acquisition Pub Date : 1992-12-01 DOI: 10.1016/1042-8143(92)90005-L
H. Eriksson
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引用次数: 11
Mutual implications and granularity 相互影响和粒度
Knowledge Acquisition Pub Date : 1992-12-01 DOI: 10.1016/1042-8143(92)90001-H
G. Armano
{"title":"Mutual implications and granularity","authors":"G. Armano","doi":"10.1016/1042-8143(92)90001-H","DOIUrl":"https://doi.org/10.1016/1042-8143(92)90001-H","url":null,"abstract":"<div><p>This paper illustrates a technique for discovering mutual implications among hierarchically structured data. Such a technique may be applied to both knowledge and data bases. If the hierarchical structure makes it possible to define granularity levels, mutual implications can be evaluated at any level. Results can be quantitative (i.e. a degree in the range [0, 1]) or qualitative (i.e. a label taken from a user-defined set). If the ground data do not represent a mapping among individuals, i.e. the level of information granularity is not the highest, a local approximation based on <em>T</em>-Norms can be used. The process of implication discovery allows one to derive inference rules for expert systems and to detect default values. In addition, it might be successfully used by sophisticated machine learning algorithms.</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"4 4","pages":"Pages 371-386"},"PeriodicalIF":0.0,"publicationDate":"1992-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1042-8143(92)90001-H","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72066958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Conceptual modelling based on ontological principles 基于本体论原理的概念建模
Knowledge Acquisition Pub Date : 1992-12-01 DOI: 10.1016/1042-8143(92)90002-I
K. Wimmer
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引用次数: 30
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