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Innovation and Ontologies

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280 Results of Develop/ Build<br />

2.3.1 Informal Taxonomy<br />

The importance of the visual system is affirmed by the fact that […]<br />

the information carrying capacity […] of the visual system<br />

is greater than for any other sense. (Friedhoff, 1989)<br />

The first formalization of empirical data is a taxonomy of the field of interest. For representation<br />

of the taxonomy, I use a tree structure. It holds all concepts identified in the context of the parttaxonomy<br />

in question. Concepts are depicted as branches of the tree, their degree of detail growing<br />

with distance to the trunk.<br />

The most important advantages of this presentation are<br />

• (relatively) fast development as well as simple integration of changes <strong>and</strong><br />

• high degree of comprehensibility also for lay users.<br />

The second argument has been of particular importance for the OntoGate, confirming the<br />

experiences made with the On-To-Knowledge methodology (Sure, Staab & Studer, 2004).<br />

Establishment of an intercompany taxonomy requires finding solutions which can be<br />

immediately accessed <strong>and</strong> understood by all partners. It is important to note that the taxonomy is<br />

developed to ease access to <strong>and</strong> to increase comprehensibility of idea assessment <strong>and</strong> selection during the<br />

Fuzzy Front End.<br />

On the one h<strong>and</strong>, the term informal taxonomy consequently indicates that natural language is used for<br />

modeling. On the other h<strong>and</strong>, informal means that some guidelines for taxonomic logic have been<br />

sacrificed to enhance readability. To illustrate this procedure, figure 101 shows an excerpt of the<br />

formally strict taxonomy for idea assessment <strong>and</strong> selection.<br />

continuous<br />

internal input<br />

component 01<br />

continuous<br />

internal input<br />

continuous<br />

internal input<br />

component 02<br />

discontinuous<br />

internal input<br />

component 01<br />

input<br />

internal input external input<br />

discontinuous<br />

internal input<br />

continuous<br />

internal input<br />

component 03<br />

discontinuous<br />

internal input<br />

component 02<br />

continuous<br />

external input<br />

...<br />

...<br />

discontinuous<br />

internal input<br />

component 03<br />

... ...<br />

figure 101 Taxonomically correct representation of input (excerpt)<br />

discontinuous<br />

external input<br />

...<br />

...

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