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Ontology  

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Identification

Ontology

Definitions/Uses

1996
Reference /Mizoguchi, 1996/ Task Ontology Design for Intelligent Educational/Training Systems
Definition/
Use
In the Knowledge Base community, ontology is defined as "a system of primitive vocabulary/concepts used for building artificial systems".
1993
Reference /Gruber, 1993/ Toward principles for the design of ontologies used for knowledge sharing
Definition/
Use
An ontology is an explicit specification of a conceptualization. The term is borrowed from philosophy, where an Ontology is a systematic account of Existence. For AI systems, what "exists" is that which can be represented. When the knowledge of a domain is represented in a declarative formalism, the set of objects that can be represented is called the universe of discourse. This set of objects, and the describable relationships among them, are reflected in the representational vocabulary with which a knowledge-based program represents knowledge. Thus, in the context of AI, we can describe the ontology of a program by defining a set of representational terms. In such an ontology, definitions associate the names of entities in the universe of discourse (e.g., classes, relations, functions, or other objects) with human-readable text describing what the names mean, and formal axioms that constrain the interpretation and well-formed use of these terms. Formally, an ontology is the statement of a logical theory.

See also

Task Ontology

Links

GDPA Online Last Updated 01.Jan.2002 Updated by Webmaster Last Revised 01.Jan.2002 Revised by Webmaster