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Using explicit ontologies to create problem solving methods

✍ Scribed by Chantal Reynaud; Françoise Tort

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
486 KB
Volume
46
Category
Article
ISSN
1071-5819

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✦ Synopsis

This article describes a tool called ASTREE , based on an ontology-driven approach .

ASTREE has been designed to automate the construction of an application-specific model of problem-solving behaviour in cases where skeletal models cannot be reused . In ASTREE , the construction of a problem-solving model is an identification of methods capable of achieving user-specified tasks . The identification process is based on matching elements specified in the task to be achieved and elements in a set of domain knowledge delivered by an expert . This domain knowledge is called the expertise ontology because it expresses conceptualizations of domain knowledge delivered by an expert during the knowledge elicitation phase . It is argued in this article that a well-defined expertise ontology provides strong constraints for the knowledge engineering process , and in particular , for the creation of a model of problem-solving behaviour . This article presents the syntax and the semantics of the language of the expertise ontology , an extension of the Entity / Relationship Model . It then focuses on the main techniques that ASTREE uses in the identification process . An example of room assignment has been chosen to illustrate ASTREE's various techniques . A scenario leading to the construction of a task-method structure is presented at the end of the article .

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