ANATOMY OF A VISUALIZATION ON-DEMAND SERVER - A Service Oriented Architecture to Visually Explore Large Data Collections

Romain Vuillemot, Béatrice Rumpler, Jean-Marie Pinon

2008

Abstract

Facing the relentless information volume increase, users are not only lost in information overload, but also among the various ways to depict it. In this paper, we tackle this issue by providing end-users access to up-to-date visualizations techniques, using remote services coupled to their local interactive environment. The outline of a Visualization On-Demand (VizOD) architecture is introduced, packaging information visualization processes into services reachable over a network. Our goal is to provide end-users flexible and personalized visual overviews of large datasets. We implemented a prototype partially validating our architecture, and discuss preliminary results of our experiments and give future work perspectives.

References

  1. Adai, A. T., Date, S. V., Wieland, S., and Marcotte, E. M. (2004). Lgl: creating a map of protein function with an algorithm for visualizing very large biological networks. J Mol Biol, 340(1):179-190.
  2. Agarwal, V., Dasgupta, K., Karnik, N., Kumar, A., Kundu, A., Mittal, S., and Srivastava, B. (2005). A service creation environment based on end to end composition of web services. In WWW 7805: Proceedings of the 14th international conference on World Wide Web, pages 128-137, New York, NY, USA. ACM.
  3. Auber, D. (2003). Tulip : A huge graph visualisation framework. In Mutzel, P. and Jünger, M., editors, Graph Drawing Softwares, Mathematics and Visualization, pages 105-126. Springer-Verlag.
  4. Blazona, Bojan; Mihajlovic, Z. (25-28 June 2007). Visualization service based on web services. Information Technology Interfaces, 2007. ITI 2007. 29th International Conference on, pages 673-678.
  5. Bonneau, G.-P., Ertl, T., and Nielson, G. M. (2005). Scientific Visualization: The Visual Extraction of Knowledge from Data. Mathematics+Visualization. Springer.
  6. Brusilovsky, P., Kobsa, A., and Nejdl, W. E. (2007). The Adaptive Web.
  7. Butler, D. M., Almond, J. C., Bergeron, R. D., Brodlie, K. W., and Haber, R. B. (1993). Visualization reference models. In VIS 7893: Proceedings of the 4th conference on Visualization 7893, pages 337-342.
  8. Chi, E. H. (2000). A taxonomy of visualization techniques using the data state reference model. In INFOVIS, pages 69-76.
  9. Christensen, E., Curbera, F., Meredith, G., and Weerawarana, S. (2001). Web Services Description Language (WSDL) 1.1. Technical report, W3C Note, http://www.w3.org/TR/wsdl.
  10. Eirinaki, M. and Vazirgiannis, M. (2003). Web mining for web personalization. ACM Trans. Inter. Tech., 3(1):1- 27.
  11. Haber, R. and McNabb, D. (1990). Visualization idioms: A conceptual model for scientific visualization systems. In Visualization in Scientific Computing, pages 74-93, G.M. Nielson, B. Shriver, and L.J. Rosenblum, eds, CS Press Los Alamitos, Calif. IEEE.
  12. Michelle, Woodruff, A., and Kuchinsky, A. (2000). Guidelines for using multiple views in information visualization. In Advanced Visual Interfaces, pages 110- 119.
  13. Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. In VL 7896: Proceedings of the 1996 IEEE Symposium on Visual Languages, page 336, Washington, DC, USA. IEEE Computer Society.
  14. Shneiderman, B. and Plaisant, C. (2004). Designing the User Interface : Strategies for Effective HumanComputer Interaction (4th Edition). Addison Wesley.
  15. SOAP (2000). Simple object access protocol (soap 1.1). http://www.w3.org/TR/SOAP.
  16. UDDI (2000). Universal description, discovery and integration, version 3. OASIS, Billerica, Mass., 2000; www.uddi.org.
  17. Vuillemot, R. and Peralta, V. (2008). From Beautiful to Useful: A Multi-Scale Visualization of Users Movie Ratings. Technical Report RR-LIRIS-2008-001, LIRIS UMR 5205 CNRS/INSA Lyon.
  18. Wood, J., Brodlie, K., and Wright, H. (1996). Visualization over the world wide web and its application to environmental data. In VIS 7896: Proceedings of the 7th conference on Visualization 7896, pages 81-ff., Los Alamitos, CA, USA. IEEE Computer Society Press.
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Paper Citation


in Harvard Style

Vuillemot R., Rumpler B. and Pinon J. (2008). ANATOMY OF A VISUALIZATION ON-DEMAND SERVER - A Service Oriented Architecture to Visually Explore Large Data Collections . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 978-989-8111-40-1, pages 86-93. DOI: 10.5220/0001715000860093


in Bibtex Style

@conference{iceis08,
author={Romain Vuillemot and Béatrice Rumpler and Jean-Marie Pinon},
title={ANATOMY OF A VISUALIZATION ON-DEMAND SERVER - A Service Oriented Architecture to Visually Explore Large Data Collections},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2008},
pages={86-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001715000860093},
isbn={978-989-8111-40-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - ANATOMY OF A VISUALIZATION ON-DEMAND SERVER - A Service Oriented Architecture to Visually Explore Large Data Collections
SN - 978-989-8111-40-1
AU - Vuillemot R.
AU - Rumpler B.
AU - Pinon J.
PY - 2008
SP - 86
EP - 93
DO - 10.5220/0001715000860093