Visualizing Populated Ontologies with OntoTrix

Benjamin Bach 1 Gennady Legostaev 1 Emmanuel Pietriga 1, *
* Auteur correspondant
1 IN-SITU - Situated interaction
CNRS - Centre National de la Recherche Scientifique : UMR8623, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique
Abstract : Most tools for visualizing Semantic Web data structure the representation according to the concept definitions and interrelations that constitute the ontology's vocabulary. Instances are often treated as somewhat peripheral information, when considered at all. The visualization of instance-level data poses different but significant challenges as instances will often be orders of magnitude more numerous than the concept definitions that give them machine-processable meaning. We present a visualization technique designed to visualize large instance sets and the relations that connect them. This visualization uses both node-link and adjacency matrix representations of graphs to visualize different parts of the data depending on their semantic and local structural properties, exploiting ontological knowledge to drive the layout of, and navigation in, the visualization.
Type de document :
Communication dans un congrès
International Semantic Web Conference (ISWC) 2010, Nov 2010, Shanghai, China. 658, pp.85-88, 2010, CEUR Workshop Proceedings; Proceedings of the ISWC 2010 Posters & Demonstrations Track: Collected Abstracts. <http://CEUR-WS.org/Vol-658/paper460.pdf>



https://hal.inria.fr/inria-00530852
Contributeur : Emmanuel Pietriga <>
Soumis le : samedi 6 novembre 2010 - 22:45:26
Dernière modification le : jeudi 9 février 2017 - 15:54:18
Document(s) archivé(s) le : vendredi 26 octobre 2012 - 15:03:17

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Benjamin Bach, Gennady Legostaev, Emmanuel Pietriga. Visualizing Populated Ontologies with OntoTrix. International Semantic Web Conference (ISWC) 2010, Nov 2010, Shanghai, China. 658, pp.85-88, 2010, CEUR Workshop Proceedings; Proceedings of the ISWC 2010 Posters & Demonstrations Track: Collected Abstracts. <http://CEUR-WS.org/Vol-658/paper460.pdf>. <inria-00530852>

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