title: Visualization of Large Ontologies in University Education from a Tool Point of View.
abstract: 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.
authors: Institute of Medical Informatics, Statistics and Epidemiology, Medical Faculty, University of Leipzig.
authors: Michael
authors: M
authors: Schaaf
authors: Institute of Medical Informatics, Statistics and Epidemiology, Medical Faculty, University of Leipzig.
authors: Franziska
authors: F
authors: Jahn
authors: Institute of Medical Informatics, Statistics and Epidemiology, Medical Faculty, University of Leipzig.
authors: Kais
authors: K
authors: Tahar
authors: Software Engineering Heidelberg, Institute for Computer Science, University of Heidelberg.
authors: Christian
authors: C
authors: Kücherer
authors: Institute of Medical Informatics, Statistics and Epidemiology, Medical Faculty, University of Leipzig.
authors: Alfred
authors: A
authors: Winter
authors: Software Engineering Heidelberg, Institute for Computer Science, University of Heidelberg.
authors: Barbara
authors: B
authors: Paech
mesh_terms: D019295:Computational Biology; D019451:Information Management / Q000379:methods*; D008490:Medical Informatics; D012984:Software; D014495:Universities; D018875:Vocabulary, Controlled