Abstract
Information is an indispensable resource today. Access to and interaction with information play more and more a key role, whereas the amount of accessible information increases. Semantic technologies provide new solutions to structure this important property. One promising way to access the complex semantic structures and the huge amount of data is visualization. Today’s Semantic Visualization systems offer primarily proprietary solutions for predefined and known users and usage scenarios. The adaptation to other scenarios and users is often cost- and time-consuming. This article presents a novel model for a fully adaptable and adaptive Semantics Visualization framework. Starting with the introduction of a new visualization model, the implementation of this model will be described. The article concludes with selected advantages of the described visualization technology.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
J. Bertin, Semiology of Graphics (University of Wisconsin Press, Madison, 1983)
S.K. Card, J.D. Mackinlay, B. Shneiderman, Readings in Information Visualization – Using Vision to Think (Academic, San Diego, 1999)
D. Fensel, J.A. Hendler, H. Lieberman, W. Wahlster (eds.), Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential (MIT, Cambridge, 2003)
A. Gómez-Pérez, M. Fernández-López, O. Corcho, Ontological Engineering (Springer, Berlin/Heidelberg/New York, 2004)
P. Hitzler, M. Krötzsch, S. Rudolph, Y. Sure, Semantic Web - Grundlagen, eXamen.press (Springer, Berlin/Heidelberg/New York, 2008)
K. Nazemi, M. Breyer, C. Hornung, SeMap: a concept for the visualization of semantics as maps, in Universal Access in Human-Computer Interaction. Applications and Services. ed. by C. Stephanidis. Volume 5616 of Lecture Notes in Computer Science (Springer, Berlin/Heidelberg/New York, 2009), pp. 83–91, http://dblp.uni-trier.de/db/conf/hci/hci2009-7.html#NazemiBH09
K. Nazemi, M. Breyer, D. Burkhardt, D.W. Fellner, Visualization cockpit: orchestration of multiple visualizations for knowledge-exploration. Int. J. Adv. Corp. Learn. (IJAC) 3(4), 26–34 (2010a), http://dblp.uni-trier.de/db/journals/i-jac/i-jac3.html#NazemiBBF10
K. Nazemi, C. Stab, D.W. Fellner, Interaction analysis for adaptive user interfaces, in Advanced Intelligent Computing Theories and Applications, ed. by D.S. Huang, Z. Zhao, V. Bevilacqua, J.C. Figueroa. Volume 6215 of Lecture Notes in Computer Science (Springer, Berlin/Heidelberg/New York, 2010b), pp. 362–371
K. Nazemi, D. Burkhardt, A. Praetorius, M. Breyer, A. Kuijper, Adapting user interfaces by analyzing data characteristics for determining adequate visualizations, in Human Centered Design, ed. by M. Kurosu. Volume 6776 of Lecture Notes in Computer Science (Springer, Berlin/Heidelberg/New York, 2011a), pp. 566–575, http://dblp.uni-trier.de/db/conf/hci/hci2011-16.html#NazemiBPBK11
K. Nazemi, C. Stab, A. Kuijper, A reference model for adaptive visualization systems, in Human-Computer Interaction: Design and Development Approaches, ed. by J.A. Jacko. Volume 6761 of Lecture Notes in Computer Science (Springer, Berlin/Heidelberg/New York, 2011b), pp. 480–489
C. Stab, K. Nazemi, D.W. Fellner, SemaTime – timeline visualization of time-dependent relations and semantics, in Advances in Visual Computing, ed. by G. Bebis, R.D. Boyle, B. Parvin, D. Koracin, R. Chung, R.I. Hammoud, M. Hussain, K.H. Tan, R. Crawfis, D. Thalmann, D. Kao, L. Avila. Volume 6455 of Lecture Notes in Computer Science (Springer, Berlin/Heidelberg/New York, 2010), pp. 514–523, http://dblp.uni-trier.de/db/conf/isvc/isvc2010-3.html#StabNF10
A.M. Treisman, Preattentive processing in vision. Comput. Vis. Graph. Image Process. 31(2), 156–177 (1985), http://dblp.uni-trier.de/db/journals/cvgip/cvgip31.html#Treisman85
A.M. Treisman, Features and objects in visual processing. Sci. Am. 255(5), 114–125 (1986)
J.W. Tukey, P.A. Tukey, Computer graphics and exploratory data analysis: an introduction, in Proceedings of the Sixth Annual Conference and Exposition: Computer Graphics ’85, vol. 3 (Dallas, Texas, 1985), pp. 773–785
J.M. Wolfe, Guided search 4.0: current progress with a model of visual search, in Integrated Models of Cognitive Systems, ed. by W.D. Gray (Oxford University Press, New York, 2007), pp. 99–119
Further Reading
I. Torre, Adaptive systems in the era of the semantic and social web, a survey. User Model. User-Adapt. Interact. 19(5):433–486 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Nazemi, K., Breyer, M., Burkhardt, D., Stab, C., Kohlhammer, J. (2014). SemaVis: A New Approach for Visualizing Semantic Information. In: Wahlster, W., Grallert, HJ., Wess, S., Friedrich, H., Widenka, T. (eds) Towards the Internet of Services: The THESEUS Research Program. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-06755-1_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-06755-1_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06754-4
Online ISBN: 978-3-319-06755-1
eBook Packages: Computer ScienceComputer Science (R0)