Understanding Large Volumes of Interconnected Individuals by Visual Exploration

Authors:
Olaf Noppens;Thorsten Liebig
Affiliations:
Institute of Artifical Intelligence, Ulm University, Ulm, Germany;Institute of Artifical Intelligence, Ulm University, Ulm, Germany
Venue:
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Year:
2007

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Abstract

Ontologies are now used within an increasing number of real-world applications. So far, significant effort has been spend in building tools to support users in creating, maintaining, and browsing the terminological part of an ontology. On the other hand, only little work has been done in supporting the user to explore the manifold interconnected assertional knowledge in order to analyze, visualize, and understand this network of individuals. In this paper, we present a new efficient visualization and editing approach which allows to investigate relationships within large volumes of interlinked individuals in order to grasp the structure of the assertional knowledge more easily.