Semantic Web Dog Food

Presented at: 20th International World Wide Web Conference (WWW2011)

by Benjamin Bach, Emmanuel Pietriga, Ilaria Liccardi, Gennady Legostaev

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.

OntoTrix: A Hybrid Visualization for Populated Ontologies was presented at this event.

Keywords: World Wide Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2011/demo/ontotrix-a-hybrid-visualization-for-populated-onto

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