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Innovation and Ontologies

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158 Deployment in Business<br />

2.3.3 Evaluation<br />

The ontologies presented above have in common that they have on the one h<strong>and</strong> a scientific<br />

character which classifies them as potentially powerful, but on the other h<strong>and</strong> they are not useful<br />

for all kinds of companies.<br />

The ontological approach to HR Management differs from the other examples in that it is<br />

developed <strong>and</strong> implemented by a large, global company. I would like to stress that this is the<br />

context where management ontologies are particularly useful <strong>and</strong> worth the effort. Size of the<br />

company <strong>and</strong> resulting reuse will allow for important scale effects. Consequently, on the whole,<br />

necessary efforts are comparably low. For an SME, development, implementation <strong>and</strong><br />

maintenance appear far too costly.<br />

Both examples of knowledge management are results of research projects; there is no data<br />

available on their practical application. For the development, implementation <strong>and</strong> maintenance of<br />

an ontology for corporate knowledge management apply the same restrictions apply as for an HR<br />

ontology.<br />

2.4 Note on Deployment in Other Areas<br />

Despite the focus of this work on business application <strong>and</strong> ontological questions related to<br />

management activities, a brief tour d’horizon on some outst<strong>and</strong>ing ontologies in other areas seems<br />

indispensable. Power of the ontological method <strong>and</strong> the resulting tools are estimated to be best<br />

illustrated by examples.<br />

Medical ontologies are used to satisfy dem<strong>and</strong> for the reuse <strong>and</strong> sharing of patient data, their<br />

transmission <strong>and</strong> /or the need of semantic-based criteria for statistics (Gómez-Pérez, Fernández-<br />

López & Corcho, 2004). Unambiguous <strong>and</strong> detailed terminology is a crucial feature in current<br />

medical systems, as a number of agents must interact between them in order to share their<br />

results. Special attention deserve 191 GALEN – a clinical terminology for specifying restrictions<br />

used in medical domains, UMLS (Unified Medical Language System) – a database designed to<br />

integrate biomedical terms collected from various sources <strong>and</strong> ON9 – a medical set of ontologies<br />

that includes some terminology systems.<br />

191<br />

More information is available online at: http://www.opengalen.org/, http://www.nlm.nih.gov/research/umls/umlsmain.html <strong>and</strong><br />

http://ksi.cpsc.ucalgary.ca/KAW/KAW98/gangemi/(2008/06/16).

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