Information Visualization Versus the Semantic Web

  • Chaomei Chen


The appeal and potential of information visualization is increasingly recognized in a wide range of information systems. The Semantic Web sets out the blueprint of the second generation of the ever-popular World Wide Web. Information visualization aims to produce graphical representations of abstract information structure for human users, whereas the Semantic Web aims to rely on a universal descriptive framework of resources that can be utilized by software agents. On the one hand, information visualization and the Semantic Web may compliment each other on a number of fundamental issues concerning the organization of and access to large-scale information resources. On the other hand, the two distinct research fields differ in some fundamental ways in terms of how semantics is defined and represented. It is important for designers and users to be able to distinguish the key differences as well as the major similarities between the two. In this chapter, we outline the origin of information visualization and some of the latest advances in relation to the Semantic Web. An illustrative example is included to highlight the challenges that one has to face in seeking for a synergy of information visualization and the Semantic Web.


Resource Description Framework Information Visualization Patent Analysis Intellectual Structure Virtual Reality Modelling Language 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Battista, G. D., Eades, P., Tamassia, R., and Tollis, I. G. (1999). Graph Drawing: Algorithms for the Visualization of Graphs. Prentice-Hall.MATHGoogle Scholar
  2. Berners-Lee, T. (1998). Semantic web roadmap. Available: Google Scholar
  3. Berners-Lee, T., Hendler, J., and Lassila, O. (2001). The semantic web. Scientific American, 5(1).Google Scholar
  4. Boyack, K. W., Wylie, B. N., Davidson, G. S., and Johnson, D. K. (2000). Analysis of patent databases using Vxinsight (SAND2000–2266C). Albuquerque, NM: Sandia National Laboratories.Google Scholar
  5. Braam, R. R., Moed, H. F., and Raan, A. F. J. v. (1991a). Mapping of science by combined co-citation and word analysis. I: Structural aspects. Journal of the American Society for Information Science, 42(4), 233–251.CrossRefGoogle Scholar
  6. Braam, R. R., Moed, H. F., and Raan, A. F. J. v. (1991b). Mapping of science by combined co-citation and word analysis. II: Dynamical aspects. Journal of the American Society for Information Science, 42(4), 252–266.CrossRefGoogle Scholar
  7. Callon, M., Law, J., and Rip, A. (Eds.). (1986). Mapping the Dynamics of Science and Technology: Sociology of Science in the Real World. London: Macmillan.Google Scholar
  8. Card, S., Mackinlay, J., and Shneiderman, B. (Eds.). (1999). Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann.Google Scholar
  9. Card, S. K. (1996). Visualizing retrieved information: A survey. IEEE Computer Graphics and Applications, 16(2), 63–67.CrossRefGoogle Scholar
  10. Chen, C. (1998a). Bridging the gap: The use of Pathfinder networks in visual navigation. Journal of Visual Languages and Computing, 9(3), 267–286.CrossRefGoogle Scholar
  11. Chen, C. (1998b). Generalized Similarity Analysis and Pathfinder Network Scaling. Interacting with Computers, 10(2), 107–128.CrossRefGoogle Scholar
  12. Chen, C. (1999). Information Visualization and Virtual Environments. London: Springer-Verlag.Google Scholar
  13. Chen, C. (2002). Mapping Scientific Frontiers: The Quest for Knowledge Visualization. London: Springer-Verlag.Google Scholar
  14. Chen, C, and Paul, R. J. (2001). Visualizing a knowledge domain’s intellectual structure. Computer, 34(3), 65–71.CrossRefGoogle Scholar
  15. Chen, C, Kuljis, J., and Paul, R. J. (2001). Visualizing latent knowledge. IEEE Transactions on Systems, Man, and Cybernetics. Part C, November 2001.Google Scholar
  16. Chen, C, Cribbin, T., Macredie, R., and Morar, S. (2002). Visualizing and tracking the growth of competing paradigms: Two case studies. Journal of the American Society for Information Science and Technology, 53(8), 678–689.CrossRefGoogle Scholar
  17. Crane, D. (1972). Invisible Colleges: Diffusion of Knowledge in Scientific Communities. Chicago, IL: University of Chicago Press.Google Scholar
  18. Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122, 108–111.CrossRefGoogle Scholar
  19. Garfield, E. H., Sher, I., and Torpie, R. J. (1964). The use of citation data in writing the history of science. Philadelphia: Institute for Scientific Information.Google Scholar
  20. Goguen, J. (2000). Information visualization and semiotic morphisms. University of California at San Diego. Available: Google Scholar
  21. Hearst, M. A. (1999). User interfaces and visualization. In B. Ribeiro-Neto (Ed.), Modern Information Retrieval (pp. 257–224). Addison-Wesley.Google Scholar
  22. Herman, I., Melançon, G., and Marshall, M. S. (2000). Graph visualization and navigation in information visualization: A survey. IEEE Transactions on Visualization and Computer Graphics, (1), 24–44.Google Scholar
  23. Hjorland, B. (1997). Information Seeking and Subject Representation: An Activity-Theoretical Approach to Information Science. Westport: Greenwood Press.Google Scholar
  24. Hjorland, B., and Albrechtsen, H. (1995). Toward a new horizon in information science: Domain analysis. Journal of the American Society for Information Science, 46(6), 400–425.CrossRefGoogle Scholar
  25. Hollan, J. D., Bederson, B. B., and Helfman, J. (1997). Information visualization. In P. Prabhu (Ed.), The Handbook of Human Computer Interaction (pp. 33–48). The Netherlands: Elsevier Science.Google Scholar
  26. Kuhn, T. S. (1962). The Structure of Scientific Revolutions. Chicago: University of Chicago Press.Google Scholar
  27. McCain, K. W. (1990). Mapping authors in intellectual space: A technical overview. Journal of the American Society for Information Science, 41(6), 433–443.CrossRefGoogle Scholar
  28. Mukherjea, S. (1999). Information visualization for hypermedia systems. ACM Computing Surveys.Google Scholar
  29. Price, D. D. (1963). Little Science, Big Science. New York: Columbia University Press.Google Scholar
  30. Price, D. D. (1965). Networks of scientific papers. Science, 149, 510–515.CrossRefGoogle Scholar
  31. Schvaneveldt, R. W. (Ed.). (1990). Pathfinder Associative Networks: Studies in Knowledge Organization. Norwood, NJ: Ablex.Google Scholar
  32. Sher, I., and Garfield, E. (1966). New tools for improving and evaluating the effectiveness of research. Paper presented at Research Program Effectiveness, Washington, DC, 27–29 July 1965.Google Scholar
  33. Small, H. (1973). Co-citation in scientific literature: A new measure of the relationship between publications. Journal of the American Society for Information Science, 24, 265–269.CrossRefGoogle Scholar
  34. Small, H. G., and Griffith, B. C. (1974). The structure of scientific literatures I: Identifying and graphing specialties. Science Studies, 4, 17–40.CrossRefGoogle Scholar
  35. Small, H. S. (1988). Book review of Callon et al. Scientometrics, 14(1–2), 165–168.CrossRefGoogle Scholar
  36. Small, H. (1997). Update on science mapping: Creating large document spaces. Scientometrics, 38(2), 275–293.MathSciNetCrossRefGoogle Scholar
  37. Spence, B. (2001). Information Visualization. Addison-Wesley.Google Scholar
  38. Steinberg, S. G. (1994). The ontogeny of RISC. Intertek, 3(5), 1–10.MATHGoogle Scholar
  39. Thagard, P. (1992). Conceptual Revolutions. Princeton, NJ: Princeton University Press.Google Scholar
  40. Ware, C. (2000). Information Visualization: Perception for Design. San Francisco: Morgan Kaufmann.Google Scholar
  41. White, H. D., and Griffith, B. C. (1981). Author co-citation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32, 163–172.CrossRefGoogle Scholar
  42. White, H. D., and McCain, K. W. (1998). Visualizing a discipline: An author co-citation analysis of information science, 1972–1995. Journal of the American Society for Information Science, 49(4), 327–356.Google Scholar

Copyright information

© Springer-Verlag London 2003

Authors and Affiliations

  • Chaomei Chen

There are no affiliations available

Personalised recommendations