Visualization of large ontologies in university education from a tool point of view
The realization of ontology visualization requirements in university education is a challenging task and should be supported by appropriate tools. This applies in particular, if the ontology to be visualized is based on a large text corpus that comprises a huge number of concepts, relations and anno...
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| Hauptverfasser: | , , |
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| Dokumenttyp: | Kapitel/Artikel Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
2016
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| In: |
Exploring complexity in health
Year: 2016, Pages: 349-353 |
| DOI: | 10.3233/978-1-61499-678-1-349 |
| Online-Zugang: | Resolving-System, kostenfrei, Volltext: http://dx.doi.org/10.3233/978-1-61499-678-1-349 Verlag, kostenfrei, Volltext: http://ebooks.iospress.nl/volumearticle/44631 
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| Verfasserangaben: | Michael Schaaf, Franziska Jahn, Kais Tahar, Christian Kücherer, Alfred Winter and Barbara Paech |
| Zusammenfassung: | The realization of ontology visualization requirements in university education is a challenging task and should be supported by appropriate tools. This applies in particular, if the ontology to be visualized is based on a large text corpus that comprises a huge number of concepts, relations and annotations. In SNIK, we developed such an ontology of information management in hospitals in order to support the transfer of knowledge in the context of the university education. The challenge is to identify tools and methods, which are capable to support ontology visualization and usage as efficiently as possible. Related research fields (e.g. bioinformatics) are confronted with similar visualization problems. These tools and methods used could provide a suitable solution in our research field. In total, we assessed eight tools concerning the visualization of large ontologies to evaluate their suitability representing knowledge in the field of medical informatics. |
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| Beschreibung: | Gesehen am 15.08.2018 |
| Beschreibung: | Online Resource |
| ISBN: | 1614996784 9781614996781 9781614994237 |
| DOI: | 10.3233/978-1-61499-678-1-349 |