Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies

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KSL-92-40 +  redirect page

Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies +  Has identifier

Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies +  Ksl tr id

Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies +  Number

Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies

Bibtype  techreport

Has publishing details  1992

Has title  Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies

Has where published  KSL-92-40

Has year  1992

Title  Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies

Year  1992

Abstract  Previous approaches to the reuse of proble Previous approaches to the reuse of problem-solving methods have relied on the existence of a global data model to serve as the mediator among the individual methods. This hard-coded approach limits the reusability of methods and introduces implicit assumptions into the system architecture that make it difficult to combine reasoning methods in new ways. To overcome these limitations, the PROTEGE-II system associates each method with an ontology that defines the context of that method. All external interaction between a method and the world can be viewed as the mapping of knowledge between the method's context ontology and the ontologies of the methods with which it is interacting.In this paper, we describe a context-definition language called MODEL, and its role in the PROTEGE-II system, a metatool for constructing task-specific expert-system shells. We outline the requirements that gave rise to such a language and argue that sharable ontologies are a fundamental precondition for reusing knowledge, serving as a means for integrating problem-solving, domain-representation, and knowledge-acquisition modules. We propose an approach based on the KIF ontology-sharing language for allowing developers to share knowledge-acquisition editors and problem-solving methods. ition editors and problem-solving methods.

Address  San Jose, CA +

Author  Eckart Walther and Henrik Eriksson and Mark A. Musen +

Has author  Eckart Walther and Henrik Eriksson and Mark A. Musen +

Has identifier  Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies +

Institution  The National Conference on Artificial Intelligence +

Ksl tr id  Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies +

Number  Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies +

Process note  NO +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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