Moritz Stefaner works as a freelance designer on the crossroads of data visualization, information aesthetics, and user interface design. This visualization depicts the classification taxonomy developed and used in the MACE project (http://portal.mace-project.eu), which aims at providing better access to digital resources for teaching and learning about architecture. It shows a bird’s-eye view of the hierarchical structure of over 2,800 terms for tagging resources. Most of the terms exist in English, Spanish, German, Italian, and Dutch. Starting from the most general term placed at the center, each path to the outside represents one “route of specialization.” Circle overlays indicate the number of associated resources for each concept, providing hints about the usage patterns of the taxonomy. For the subject matter experts in the project, visualizations like these have shown to be useful for quality control and iterative refinements of the taxonomy. For end users, an interactive version of the diagram is available on the MACE portal (http://portal.mace-project.eu/BrowseByClassification), which allows one to search and browse thousands of resources in an interactive visual refinement process.
Wolpers, Martin, Martin Memmel, and Moritz Stefaner. 2010. “Supporting Architecture Education Using the MACE System.” International Journal of Technology Enhanced Learning 2 (½): 132-144.
Stefaner, Moritz. 2011. MACE Classification Tree. Courtesy of Moritz Stefaner. In “7th Iteration (2011): Science Maps as Visual Interfaces to Digital Libraries,” Places & Spaces: Mapping Science, edited by Katy Börner and Michael J. Stamper. http://scimaps.org.
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Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.