Abstract
The virtual Knowledge Landscape (KL) simulates a natural cognitive space for users. Visualizing the relationship between educational texts, it helps students when browsing through the data and when studying details. The main objective of the KL is to allow students to quickly gain an overview over a large collection of educational hypermedia materials. Relations between texts are calculated using a SOM after having analyzed the texts’ vocabulary. Additional information is derived from the link-structure so that texts can be classified as overview or detailed texts.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baezo-Yates, R. and Ribeiro-Neto, B. (1999): Modern Information Retrieval. Addison-Wesley, Reading Massachusetts.
Card, S.K., Mackinlay, J.D. and Shneiderman, B. (1999): Readings in Information Visualization. Morgan Kaufmann Publishers.
Chakrabarti, S. et al. (1999): Mining the Web’s Link Structure. IEEE Computer, 32(8):60–67.
Chalmers, M. and Chitson, P. (1992): Bead: Explorations in Information Visualization. In Proceedings of the Fifteenth Annual International ACM SIGIR Conference. 330–337.
Cutting, D.R. et al. (1992): Scatter / Gather: A Cluster-based Approach to Browsing Large Document Collections. In Proceedings of the Fifteenth Annual International ACM SIGIR Conference. Copenhagen, Denmark. 318–329.
Dridi, F., HÜLsbusch, T. and Neumann, G. (1999): Visualization and Categorization of Cached Hypermedia Data. Classification in the Information Age. W. Gaul and H. Locarek-Junge (editors). Springer Heidelberg. 387–394.
Fowler, R.H. et al. (1991): Integrating Query, Thesaurus, and Documents Through a Common Visual Representation. In Proceedings of the Fourteenth Annual International ACM SIGIR Conference. Chicago, USA, 142–151.
Furnas, G.W. et al. (1988): Information retrieval using a singular value decomposition model of latent semantic structure. In Proceedings of the 11th International Conference on R&D in Information Retrieval. ACM Press. Grenoble, France. 465–480.
Kleinberg, J. (1999): Authoritative Sources in a Hyperlinked Environment. Communications of the ACM, 46(5):604–632.
Kohonen, T. (1997): Self-Organizing Maps. Springer, Berlin, Heidelberg, New York, London, Paris, Tokyo.
KÖPpenn, E. and Neumann, G. (1999): Visualization of Course Structures Through Adaptive Internet Techniques. Classification in the Information Age. W. Gaul and H. Locarek-Junge (editors). Springer Heidelberg. 395–401.
Lagus, K. et al. (1996): WEBSOM — A Status Report. In Proceedings of STeP’96, Finnish Artificial Intelligence Conference. Finnish Artificial Intelligence Society. Vaasa, Finland.
Lin, X., Soergel, D. and Marchionini, G. (1991): A Self-Organizing Semantic Map for Information Retrieval. In Proceedings of the 14th Annual International ACM SIGIR Conference. Chicago, USA. 262–269.
Lohninger, H (1999): Teach/Me Data Analysis. Springer, Heidelberg.
Rennison, E. (1994): Galaxy of News: An Approach to Visualizing and Understanding Expansive News Landscapes. In Proceedings of the UIST 94, ACM Symposium on User Interface Software and Technology. New York, USA. 3–12.
Schoder, D. (1999): Navigation in Cyperspace: Using Multi-Dimensional Scaling to Create Three-dimensional Navigation Maps. Classification in tie Information Age. W. Gaul and H. Locarek-Junge (editors). Springer Heidelberg.
Terveen, L. and Hill, W. (1999): Constructing, Organizing, and Visualizing Collections of Topically Related Web Resources. ACM Transactions on Computer-Human Interaction, 6(1):67–94.
Weippl, E. (1999): Integration of Virtual Reality Knowledge Landscapes into Multimedia Teachware for Chemometrics, Doctoral Dissertation, Vienna University of Technology. Vienna, Austria.
Wise, J.A. et al. (1995): Visualizing the Non-Visual: Spatial Analysis and Interaction With Information from Text Documents. In Proceedings of the Information Visualization 95. IEEE Society Press. Los Alamitos. 51–58.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Weippl, E., Lohninger, H. (2002). Knowledge Landscapes: Clustering Hypermedia Course Content for Efficient Overviews. In: Gaul, W., Ritter, G. (eds) Classification, Automation, and New Media. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55991-4_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-55991-4_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43233-3
Online ISBN: 978-3-642-55991-4
eBook Packages: Springer Book Archive