VISO Bibliography

This list of references was used when creating VISO (numbers in square brackets, [99]). They will soon be have been converted into a BIBO bibliography and are now properly linked with each resource (cf. the docu on VISO).

  1. Philippa Rhodes, Eileen Kraemer, und Bina Reed, “VisIOn: an interactive visualization ontology,” in Proceedings of the 44th annual Southeast regional conference (Melbourne, Florida: ACM, 2006), 405-410, doi:10.1145/1185448.1185538, http://portal.acm.org/citation.cfm?id=1185448.1185538.
  2. K. Brodlie und N. M Noor, “Visualization Notations, Models and Taxonomies,” EG UK Theory and Practice of Computer Graphics (2007) (2007).
  3. G. Shu, N. J Avis, und O. F Rana, “Bringing semantics to visualization services,” Advances in Engineering Software 39, no. 6 (2008): 514–520.
  4. D. J. Duke, K. W. Brodlie, und D. A. Duce, “Building an ontology of visualization,” in Proceedings of the conference on Visualization, Bd. 4, 10–15.
  5. K. W. Brodlie u. a., Visualization Ontologies: Report of a Workshop held at the National e-Science Centre (Technical Report, e-Science Institute, Edinburgh, Scotland, 2004), 31, Google Scholar. (Grundlage von [3])
  6. D.J. Duke u. a., “Do you see what I mean? [Data visualization],” Computer Graphics and Applications, IEEE 25, no. 3 (2005): 6-9, doi:10.1109/MCG.2005.55.
  7. H. Senay und E. Ignatius, “A knowledge-based system for visualization design,” Computer Graphics and Applications, IEEE 14, no. 6 (1994): 36-47, doi:10.1109/38.329093.
  8. Y.A. Tijerino u. a., “A shape knowledge representation scheme and its application on a multi-modal interface for a virtual space teleconferencing system,” in Robot and Human Communication, 1995. RO-MAN’95 TOKYO, Proceedings., 4th IEEE International Workshop on, 1995, 259-264, doi:10.1109/ROMAN.1995.531969.
  9. J. Polowinski, “Semi-Automatic Mapping of Structured Data to Visual Variables.” https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-108497
  10. Gilson, O.; Silva, N.; Grant, P. & Chen, M. From web data to visualization via ontology mapping Computer Graphics Forum, 2008, 27, 959-966, doi: 10.1111/j.1467-8659.2008.01230.x
  11. Potter, Wright: An Ontological Approach to Visualization Resource Management. DSV-IS, 2006, p. 151-156, http://www.springerlink.com/content/86272300mr45502w/fulltext.pdf
  12. http://www.smileyontology.com/index.php?title=Ontology
  13. Jock Mackinlay, “Automating the design of graphical presentations of relational information,” ACM Trans. Graph. 5, no. 2 (1986): 110-141.
  14. http://manyeyes.alphaworks.ibm.com/manyeyes/page/Visualization_Options.html
  15. Schumann und W. Müller, Visualisierung: Grundlagen und allgemeine Methoden (Springer, 2000).
  16. J. J Van Wijk, “The value of visualization,” in Proc. IEEE Visualization, Bd. 2005, 2005, 79–86.
  17. Robert Spence, Information Visualization: Design for Interaction (2nd Edition) (Prentice-Hall, Inc., 2007), http://portal.acm.org/citation.cfm?id=1196684.
  18. Ben Shneiderman, “Designing the user interface,” in Computers in the human context: information technology, productivity, and people (MIT Press, 1989), 166-173, http://portal.acm.org/citation.cfm?id=79125.
  19. J. S Yi u. a., “Toward a deeper understanding of the role of interaction in information visualization,” IEEE Transactions on Visualization and Computer Graphics 13, no. 6 (2007): 1224.
  20. M. Q.W Baldonado, A. Woodruff, und A. Kuchinsky, “Guidelines for using multiple views in information visualization,” in Proceedings of the working conference on Advanced visual interfaces, 2000, 110–119.
  21. R. Bade, S. Schlechtweg, und S. Miksch, “Connecting time-oriented data and information to a coherent interactive visualization,” in Proceedings of the SIGCHI conference on Human factors in computing systems, 2004, 105–112.
  22. B. Shneiderman, “Dynamic queries for visual information seeking,” The Craft of Information Visualization: Readings and Reflections (2003): 14.
  23. Christopher Ahlberg und Ben Shneiderman, “Visual information seeking: tight coupling of dynamic query filters with starfield displays,” in Proceedings of the SIGCHI conference on Human factors in computing systems: celebrating interdependence (Boston, Massachusetts, United States: ACM, 1994), 313-317, http://portal.acm.org/citation.cfm?id=191775.
  24. S. G Eick, “Data visualization sliders,” in Proceedings of the 7th annual ACM symposium on User interface software and technology, 1994, 119–120.
  25. T. Büring, J. Gerken, und H. Reiterer, “Dynamic Text Filtering for Improving the Usability of Alphasliders on Small Screens,” in Proceedings of the 11th International Conference Information Visualization, 2007, 145–149.
  26. C. Plaisant und B. Shneiderman, “Show me! Guidelines for producing recorded demonstrations,” in IEEE Symp. Visual Langs. Human-Centric Comp, 2005, 171–178.
  27. D. Keim, “Scaling visual analytics to very large data sets,” in Workshop on Visual Analytics, 2005.
  28. S. Card, “Information visualization,” Human-Computer Interaction: Design Issues, Solutions, and Applications (2007).
  29. S. Card, “Information visualization,” Human-Computer Interaction: Design Issues, Solutions, and Applications (2009): 181.
  30. Jacques Bertin, Semiology of graphics (University of Wisconsin Press, 1983), http://portal.acm.org/citation.cfm?id=1095597.
  31. S. K Card, J. D Mackinlay, und B. Shneiderman, Readings in information visualization: using vision to think (Morgan Kaufmann, 1999).
  32. A. M MacEachren, How maps work (Guilford Press New York, 1995).
  33. Robert Spence und Lisa Tweedie, “The Attribute Explorer: information synthesis via exploration,” Interacting with Computers 11, no. 2 (Dezember 15, 1998): 137-146.
  34. Akrivi Katifori u. a., “Ontology visualization methods – a survey,” ACM Comput. Surv. 39, no. 4 (2007): 10.
  35. E. H Chi und others, “A taxonomy of visualization techniques using the data state reference model,” in Proc. of the IEEE Symposium on Information Visualization, 2000, 69–75.
  36. E. H Chi und J. T. Riedl, “An operator interaction framework for visualization systems,” in IEEE Symposium on Information Visualization, 1998. Proceedings, 1998, 63–70.
  37. 1. B. Shneiderman, “The eyes have it: A task by data type taxonomy for information visualizations,” The craft of information visualization: readings and reflections (2003): 364–371.
  38. R. B Haber und D. A McNabb, “Visualization idioms: A conceptual model for scientific visualization systems.”
  39. P. K Robertson, “A methodology for choosing data representations,” IEEE Computer Graphics and Applications (1991): 56–67.
  40. C. Ware, Information visualization: perception for design (Morgan Kaufmann, 2004).
  41. M. Tory und T. Möller, “Rethinking Visualization: A High-Level Taxonomy.”
  42. J. Bertin, Graphics and Graphic Information Processing, 1981.
  43. D. A. Keim, “Information visualization and visual data mining,” IEEE transactions on Visualization and Computer Graphics 8, no. 1 (2002): 1–8.
  44. R. Mazza, Introduction to information visualization (Springer-Verlag New York Inc, 2009).
  45. R. Amar, J. Eagan, und J. Stasko, “Low-level components of analytic activity in information visualization,” in IEEE Symposium on Information Visualization, 2005. INFOVIS 2005, 2005, 111–117.
  46. N. Andrienko und G. Andrienko, “Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach” (2005).
  47. A. T Pang, C. M Wittenbrink, und S. K Lodha, “Approaches to uncertainty visualization,” The Visual Computer 13, no. 8 (1997): 370–390.
  48. C. Healey u. a., “Visual Perception and Mixed-Initiative Interaction for Assisted Visualization Design,” IEEE Transactions on Visualization and Computer Graphics 14, no. 2 (2008): 396–411.
  49. B. Lee u. a., “Task taxonomy for graph visualization,” in Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization, 2006, 5.
  50. J. Zhang, “A representational analysis of relational information displays.,” International Journal of Human-Computer Studies 45, no. 1 (1996): 59–74.
  51. R. Kosara, “Visualization Criticism – The Missing Link Between Information Visualization and Art,” in Proceedings of the 11th International Conference Information Visualization, 2007, 631–636.
  52. L. Tweedie, “Characterizing interactive externalizations,” in Proceedings of the SIGCHI conference on Human factors in computing systems, 1997, 375–382.
  53. N. Boukhelifa u. a., “A Coordination Model for Exploratory Multi-View Visualization,” in Proceedings of the conference on Coordinated and Multiple Views In Exploratory Visualization, 2003, 76-85.
  54. C. Chen, “Top 10 unsolved information visualization problems,” IEEE Computer Graphics and Applications 25, no. 4 (2005): 12–16.
  55. T. M Rhyne, “Does the Difference between Information and Scientific Visualization Really Matter?,” IEEE Computer Graphics and Applications 23, no. 3 (2003): 8.
  56. M. X Zhou und S. K Feiner, “Visual task characterization for automated visual discourse synthesis,” in Proceedings of the SIGCHI conference on Human factors in computing systems, 1998, 392–399.
  57. Jörg von Engelhardt, “The Language of Graphics” (Institute for Logic, Language & Computation, University of Amsterdam., 2002).
  58. E. Kalogerakis, S. Christodoulakis, und N. Moumoutzis, “Coupling Ontologies with Graphics Content for Knowledge Driven Visualization,” in Virtual Reality Conference, 2006, 2006, 43-50.
  59. S. Stevens, “On the theory of scales of measurement,” Science 103, Nr. 2684 (1946): 677–680.
  60. F. Paterno und V. V Alfieri, “Task models in interactive software systems,” Handbook of Software Engineering and Knowledge (o. J.).
  61. M. C Chuah und S. F Roth, “On the semantics of interactive visualizations,” 1996.
  62. Wolfgang Aigner, “interaction and visual analytics,” interaction 10 (2009).

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