Automated Generation of Knowledge-Acquisition Tools with Mecano

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Citation: Angel R. Puerta and John W. Egar and Mark A. Musen. (1992) Automated Generation of Knowledge-Acquisition Tools with Mecano. In KSL-91-62, 1992.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Angel R. Puerta and John W. Egar and Mark A. Musen
title Automated Generation of Knowledge-Acquisition Tools with Mecano
number KSL-91-62
institution Knowledge Systems, AI Laboratory
year 1992
Bibtex more
note Medical Computer Science
Access Paper
abstract Method-oriented knowledge-acquisition tools are based on a model, or method, of problem solving and can acquire knowledge for the class of tasks that can be solved with that particular problem-solving method. The capture of knowledge takes place in knowledge editors. These editors are typically based on the individual tool's domain-independent method; they fail to reflect task- and domain-specific characteristics and have no ability to adapt to user requirements. Mecano is a user-interface management system that generates automatically adaptable knowledge editors for the PROTEGE-II knowledge- acquisition shell. Mecano allows knowledge engineers to specify the components of a knowledge editor independently of any underlying problem-solving method. It also provides facilities for constraining the operations allowed on the components, for selecting interaction styles for each component, and for linking components to coordinate their simultaneous display. Knowledge editors generated by Mecano take into account the needs and requirements of given tasks, domains, and users, and guide the users through the knowledge-editing process by providing visual cues and by limiting the permissible editing operations to those relevant in the domain of interest.

KSL Technical Report ID: KSL-91-62
Facts about Automated Generation of Knowledge-Acquisition Tools with MecanoRDF feed
Abstract Method-oriented knowledge-acquisition tool … Method-oriented knowledge-acquisition tools are based on a model, or method, of problem solving and can acquire knowledge for the class of tasks that can be solved with that particular problem-solving method. The capture of knowledge takes place in knowledge editors. These editors are typically based on the individual tool's domain-independent method; they fail to reflect task- and domain-specific characteristics and have no ability to adapt to user requirements. Mecano is a user-interface management system that generates automatically adaptable knowledge editors for the PROTEGE-II knowledge- acquisition shell. Mecano allows knowledge engineers to specify the components of a knowledge editor independently of any underlying problem-solving method. It also provides facilities for constraining the operations allowed on the components, for selecting interaction styles for each component, and for linking components to coordinate their simultaneous display. Knowledge editors generated by Mecano take into account the needs and requirements of given tasks, domains, and users, and guide the users through the knowledge-editing process by providing visual cues and by limiting the permissible editing operations to those relevant in the domain of interest. those relevant in the domain of interest.
Author Angel R. Puerta and John W. Egar and Mark A. Musen  +
Bibtype techreport  +
Has author Angel R. Puerta and John W. Egar and Mark A. Musen  +
Has identifier KSL-91-62  +
Has publishing details 1992  +
Has title Automated Generation of Knowledge-Acquisition Tools with Mecano  +
Has where published KSL-91-62  +
Has year 1992  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-91-62  +
Note Medical Computer Science
Number KSL-91-62  +
Process note NO  +
Title Automated Generation of Knowledge-Acquisition Tools with Mecano  +
Year 1992  +
Retrieved from "http://tw.rpi.edu/wiki/Automated_Generation_of_Knowledge-Acquisition_Tools_with_Mecano"
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