OntoTrix: A Hybrid Visualization for Populated Ontologies

Benjamin Bach 1, * Emmanuel Pietriga 1, * Ilaria Liccardi 1 Gennady Legostaev 2
* Corresponding author
1 IN-SITU - Situated interaction
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Most Semantic Web data visualization tools 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. These instances, that populate ontologies, represent an essential part of any knowledge base, and are often orders of magnitude more numerous than the concept definitions that give them machine-processable meaning. We present a visualization technique designed to enable users to visualize large instance sets and the relations that connect them. This hybrid 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 graph layout. The representation is embedded in an environment that features advanced interaction techniques for easy navigation, including support for smooth continuous zooming and coordinated views.
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Conference papers
ACM. WWW '11: 19th international conference on World wide web, Mar 2011, Hyderabad, India. ACM, 2011, WWW '11: Proceedings of the 19th international conference on World wide web
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Benjamin Bach, Emmanuel Pietriga, Ilaria Liccardi, Gennady Legostaev. OntoTrix: A Hybrid Visualization for Populated Ontologies. ACM. WWW '11: 19th international conference on World wide web, Mar 2011, Hyderabad, India. ACM, 2011, WWW '11: Proceedings of the 19th international conference on World wide web. 〈inria-00560548〉

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