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Semantic zooming for ontology graph visualizations

 
: Wiens, V.; Lohmann, S.; Auer, S.

:
Volltext urn:nbn:de:0011-n-5069635 (2.8 MByte PDF)
MD5 Fingerprint: fee64dde2749b1680bad27a8cdbb7166
Erstellt am: 30.8.2018


Association for Computing Machinery -ACM-:
K-CAP 2017. Proceedings of the Knowledge Capture Conference : Austin, TX, USA, December 04 - 06, 2017
New York: ACM, 2017
ISBN: 978-1-4503-5553-7
Art. 4, 8 S.
International Conference on Knowledge Capture (K-CAP) <9, 2017, Austin/Tex.>
European Commission EC
H2020; 640954; GRACeFUL
Global systems Rapid Assessment tools through Constraint FUnctional Languages
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()
semantic zooming; ontology graph; sensemaking; navigation support; halo visualization; smart expanding; VOWL

Abstract
Visualizations of ontologies, in particular graph visualizations in the form of node-link diagrams, are often used to support ontology development, exploration, verification, and sensemaking. With growing size and complexity of ontology graph visualizations, their represented information tend to become hard to comprehend due to visual clutter and information overload. We present a new approach of semantic zooming for ontology graph visualizations that abstracts and simplifies the underlying graph structure. It separates the comprised information into three layers with discrete levels of detail. The approach is applied to a force-directed graph layout using the VOWL notation. The mental map is preserved by using smart expanding and ordering of elements in the layout. Navigation and sensemaking are supported by local and global exploration methods, halo visualization, and smooth zooming. The results of a user study confirm an increase in readability, visual clarity, and information clarity of ontology graph visualizations enhanced with our semantic zooming approach.

: http://publica.fraunhofer.de/dokumente/N-506963.html