On Transforming a Knowledge Base from Topic Maps to OWL

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00189544" target="_blank" >RIV/68407700:21230/11:00189544 - isvavai.cz</a>
Result on the web
<a href="http://www.springerlink.com/content/mvw54gvl22446866/" target="_blank" >http://www.springerlink.com/content/mvw54gvl22446866/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-27549-4_27" target="_blank" >10.1007/978-3-642-27549-4_27</a>

Result language
angličtina
Original language name
On Transforming a Knowledge Base from Topic Maps to OWL
Original language description
In this contribution we show, how we could overcome the shortcomings of the Topic-Map representation by applying our developed transformation concept for the particular system VCEDECIS. At a passive decision support system using Topic Maps as a semantictechnology for representing its knowledge, it was decided to transform the knowledge representation to Web Ontology Language. We introduce a transformation concept that starts with a sound analysis of the source system. For typical patterns in the topicmap the best corresponding patterns in OWL-DL were defined. A combination of general considerations and real examples act as a proof of concept.
Czech name
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Czech description
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Project
<a href="/en/project/7E09078" target="_blank" >7E09078: Integrated European Industrial Risk Reduction System</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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