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Realizing the hidden: interactive visualization and analysis of large volumes of structured data

Published:28 May 2008Publication History

ABSTRACT

An emerging trend in Web computing aims at collecting and integrating distributed data. For instance, various communities recently have build large repositories of structured and interlinked data sets from different Web sources. However, up to date there is virtually no support in navigating, visualising or even analysing structured date sets of this size appropriately. This paper describes novel rendering techniques enabling a new level of visual analytics combined with interactive exploration principles. The underlying visualisation rationale is driven by the principle of providing detail information with respect to qualitative as well as quantitative aspects on user demand while offering an overview at any time. By means of our prototypical implementation and two real-world data sets we show how to answer several data specific tasks by interactive visual exploration.

References

  1. T. Anderson, Z. Andrews, J. Fitzgerald, B. Randell, H. Glaser, and I. Millard. The ReSIST Resilience Knowledge Base. In Proc. of the 37th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2007), June 2007.Google ScholarGoogle Scholar
  2. S. Auer, C. Bizer, J. Lehmann, G. Kobilarov, R. Cyganiak, and Z. Ives. DBpedia: A Nucleus for a Web of Open Data. In Proc. of the 6th International Semantic Web Conference (ISWC 2007), volume 4805 of LNCS, pages 722--735. Springer, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Ben Bederson, Jesse Grosjean, and Jon Meyer. Toolkit Design for Interactive Structured Graphics. Technical Report CS-TR-4432, University of Maryland, January 2002.Google ScholarGoogle Scholar
  4. Matthew Horridge, Sean Bechhofer, and Olaf Noppens. Igniting the OWL 1.1 Touch Paper: The OWL API. In Proc. of the 3rd OWL Experiences and Directions Workshop (OWLED'07) at the ESWC'07, Innsbruck, Austria, 2007.Google ScholarGoogle Scholar
  5. Afraz Jaffri, Hugh Glaser, and Ian Millard. URI Identity Management for Semantic Web Data Integration and Linkage. In Proc. of the 3rd International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS 2007), Vilamoura, Algarve, Portugal, 2007. Springer. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Daniel A. Keim. Visual exploration of large data sets. Communications of the ACM, 44(8):38--44, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Thorsten Liebig and Olaf Noppens. OntoTrack: A semantic approach for ontology authoring. Journal of Web Semantics, 3(2):116--131, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Wolfgang May. Information extraction and integration with Florid: The Mondial case study. Technical Report 131, Universität Freilburg, Institut für Informatik, 1999.Google ScholarGoogle Scholar
  9. Ben Shneiderman. The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In Proc. of the IEEE Symposium on Visual Languages, pages 336--343, Washington, USA, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Realizing the hidden: interactive visualization and analysis of large volumes of structured data

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          cover image ACM Conferences
          AVI '08: Proceedings of the working conference on Advanced visual interfaces
          May 2008
          483 pages
          ISBN:9781605581415
          DOI:10.1145/1385569

          Copyright © 2008 ACM

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          Publication History

          • Published: 28 May 2008

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