Abstract
One of the most challenging issues in managing the large and diverse data available on the World Wide Web is the design of interactive systems to organize and represent information, according to standard usability guidelines. In this paper we define a framework to collect and represent information from different web resources like search engines, real-time networks and multimedia distributed databases. A prototype system has been developed, following the Rich Internet Application paradigm, to allow end-users to visualize, browse and analyze documents and their relationships in a graph-based user interface. Different visual paradigms have been implemented and their effectiveness has been measured in usability tests with real users.
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References
Card, S.K., Mackinlay, J., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, San Francisco (January 1999)
Hirsch, C., Hosking, J., Grundy, J.: Interactive visualization tools for exploring the semantic graph of large knowledge spaces. In: Workshop on Visual Interfaces to the Social and the Semantic Web (VISSW 2009) (February 2009)
Bollacker, K., Cook, R., Tufts, P.: Freebase: a shared database of structured general human knowledge. In: AAAI 2007: Proceedings of the 22nd national conference on Artificial intelligence, pp. 1962–1963. AAAI Press, Menlo Park (2007)
Di Giacomo, E., Didimo, W., Grilli, L., Liotta, G., Palladino, P.: Whatsonweb+: An enhanced visual search clustering engine. In: Visualization Symposium. PacificVIS 2008. IEEE Pacific, pp. 167–174 (March 2008)
Ferragina, P., Gulli, A.: The anatomy of a hierarchical clustering engine for web-page, news and book snippets. In: Fourth IEEE International Conference on Data Mining, ICDM 2004, 395–398 (2004)
Weiss, D., Osinski, S.: Carrot2. open source search results clustering engine
Osinski, S., Stefanowski, J., Weiss, D.: Lingo: Search results clustering algorithm based on singular value decomposition. In: Intelligent Information Systems, pp. 359–368 (2004)
Bondy, J.A., Murty, U.S.R.: Graph Theory (Graduate Texts in Mathematics). Springer, Heidelberg (2007)
Di Giacomo, E., Didimo, W., Grilli, L., Liotta, G.: Graph visualization techniques for web clustering engines. Transactions on Visualization and Computer Graphics 13(2), 294–304 (2007)
Herman, I., Melançon, G., Marshall, M.S.: Graph visualization and navigation in information visualization: A survey. IEEE Transactions on Visualization and Computer Graphics 6(1), 24–43 (2000)
Keller, T., Tergan, S.O.: Visualizing knowledge and information: An introduction. In: Knowledge and Information Visualization, pp. 1–23 (2005)
Misue, K., Eades, P., Lai, W., Sugiyama, K.: Layout adjustment and the mental map. Journal of Visual Languages & Computing 6(2), 183–210 (1995)
Birdeye information visualization and visual analytics library
Nielsen, J., Loranger, H.: Web Usability. Addison-Wesley, München
Krug, S.: Don’t Make Me Think: A Common Sense Approach to Web Usability. New Riders Press, Indianapolis (October 2000)
Nielsen, J., Molich, R.: Heuristic evaluation of user interfaces. In: CHI 1990: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 249–256. ACM Press, New York (1990)
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D’Amico, G., Del Bimbo, A., Meoni, M. (2010). Interactive Visual Representations of Complex Information Structures. In: Agosti, M., Esposito, F., Thanos, C. (eds) Digital Libraries. IRCDL 2010. Communications in Computer and Information Science, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15850-6_11
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DOI: https://doi.org/10.1007/978-3-642-15850-6_11
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