Toward Ontology-Based Frameworks for Knowledge-Acquisition Tools

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Citation: Angel R. Puerta and Robert Neches and Henrik Eriksson and Pedro A. Szekely and Ping Luo and Mark A. Musen. (1994) Toward Ontology-Based Frameworks for Knowledge-Acquisition Tools. In KSL-93-64, 1994.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Angel R. Puerta and Robert Neches and Henrik Eriksson and Pedro A. Szekely and Ping Luo and Mark A. Musen
title Toward Ontology-Based Frameworks for Knowledge-Acquisition Tools
number KSL-93-64
institution Knowledge Systems, AI Laboratory
address Banff, Alberta, Canada
year 1994
Bibtex more
note October 1993. Updated January 1994.
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abstract One of the strongest limitations of knowledge-acquisition metatools—tools that automate the development of knowledge-acquisition tools—is that the knowledge employed by the metatools to produce domain-specific knowledge-acquisition tools is not explicit and cannot be used by other metatools. Therefore, the usefulness of a metatool is restricted to its implementation environment. A possible solution to this problem is the definition of a shareable ontology of knowledge-acquisition tools that represents explicitly the relevant knowledge of tool design and development. We take the position that knowledge-acquisition tool design is similar to user-interface design and that an ontology of knowledge-acquisition tools is a special case of an interface ontology. We propose that a shareable interface ontology can be defined by analyzing interface ontologies used in model-based user-interface development systems, and by resolving differences and conflicts among the ontologies—a process called model alignment. We present two systems, Shelter and Mecano, that use model-based user-interface development techniques as the basis for producing knowledge acquisition tools. We then show the result of the model alignment between these two systems and present the resulting ontology as a basis for knowledge-acquisition tool construction across implementations.

KSL Technical Report ID: KSL-93-64
Facts about Toward Ontology-Based Frameworks for Knowledge-Acquisition ToolsRDF feed
Abstract One of the strongest limitations of knowle One of the strongest limitations of knowledge-acquisition metatools—tools that automate the development of knowledge-acquisition tools—is that the knowledge employed by the metatools to produce domain-specific knowledge-acquisition tools is not explicit and cannot be used by other metatools. Therefore, the usefulness of a metatool is restricted to its implementation environment. A possible solution to this problem is the definition of a shareable ontology of knowledge-acquisition tools that represents explicitly the relevant knowledge of tool design and development. We take the position that knowledge-acquisition tool design is similar to user-interface design and that an ontology of knowledge-acquisition tools is a special case of an interface ontology. We propose that a shareable interface ontology can be defined by analyzing interface ontologies used in model-based user-interface development systems, and by resolving differences and conflicts among the ontologies—a process called model alignment. We present two systems, Shelter and Mecano, that use model-based user-interface development techniques as the basis for producing knowledge acquisition tools. We then show the result of the model alignment between these two systems and present the resulting ontology as a basis for knowledge-acquisition tool construction across implementations. tool construction across implementations.
Address Banff, Alberta, Canada  +
Author Angel R. Puerta and Robert Neches and Henrik Eriksson and Pedro A. Szekely and Ping Luo and Mark A. Musen  +
Bibtype techreport  +
Has author Angel R. Puerta and Robert Neches and Henrik Eriksson and Pedro A. Szekely and Ping Luo and Mark A. Musen  +
Has identifier KSL-93-64  +
Has publishing details 1994  +
Has title Toward Ontology-Based Frameworks for Knowledge-Acquisition Tools  +
Has where published KSL-93-64  +
Has year 1994  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-93-64  +
Note October 1993. Updated January 1994.
Number KSL-93-64  +
Process note YES  +
Title Toward Ontology-Based Frameworks for Knowledge-Acquisition Tools  +
Year 1994  +
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