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Innovation and Ontologies

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178 Classification – The OntoCube<br />

Application Ontology Domain Ontology Generic Ontology<br />

• Contains definitions<br />

to model the<br />

knowledge for a<br />

particular application.<br />

• Mix of concepts taken<br />

from domain <strong>and</strong><br />

generic ontologies or<br />

from an ontology<br />

library.<br />

• May contain method-<br />

<strong>and</strong> task-specific<br />

extensions.<br />

• Expresses specific<br />

conceptualization for<br />

domain at h<strong>and</strong>.<br />

• Constrains structure<br />

<strong>and</strong> contents of<br />

domain knowledge<br />

(which describes<br />

factual situations).<br />

• Concepts often<br />

defined as<br />

specializations of<br />

concepts in generic<br />

ontologies.<br />

• Concepts considered<br />

to be generic across<br />

many fields; examples<br />

are state, event,<br />

process, action<br />

component etc.<br />

Representation<br />

Ontology<br />

• Explains the<br />

conceptualization that<br />

underly knowledge<br />

representation<br />

formalisms.<br />

• Neutral with respect<br />

to world entities.<br />

• Provides<br />

representational<br />

framework without<br />

making claims about<br />

the world.<br />

table 49 Categories for the subject of conceptualization (van Heijst, Schreiber & Wielinga, 1997)<br />

The dimension amount <strong>and</strong> type of structure of the conceptualization is a new contribution to the<br />

classification efforts. The authors distinguish three categories:<br />

• Terminological ontology: Specification of terms used to represent knowledge in the domain of<br />

discourse (e.g. lexicons).<br />

• Information ontology: Specification of the record structure of databases (e.g. database scheme).<br />

• Knowledge modeling ontology: Specification of conceptualizations of the knowledge; richer internal<br />

structure (compared to domain ontologies); often tuned to a particular use of the knowledge<br />

that they describe; knowledge modeling ontology can e.g. group observations (of an<br />

information ontology) to describe the decision-making process.<br />

The axis of amount <strong>and</strong> structure, though of potential for practical use, did not find a significant<br />

number of supporters in the community <strong>and</strong> has not often been reused. The dimension of<br />

structure, on the other h<strong>and</strong>, has found broad acceptance as it provided more details than the<br />

suggestions by Mizoguchi, Vanwelkenhuysen & Ikeda (1995) <strong>and</strong> Uschold & Grueninger (1996).<br />

figure 59 Two-dimensional classification of ontologies by van Heijst, Schreiber & Wielinga (1997)

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