Skip to main content
SpringerLink
Log in

Information Visualization Versus the Semantic Web

  • Chapter
Book cover Visualizing the Semantic Web

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Battista, G. D., Eades, P., Tamassia, R., and Tollis, I. G. (1999). Graph Drawing: Algorithms for the Visualization of Graphs. Prentice-Hall.

    MATH  Google Scholar 

  • Berners-Lee, T. (1998). Semantic web roadmap. Available: http://www.w3.org/DesignIssues/Semantic.html

    Google Scholar 

  • Berners-Lee, T., Hendler, J., and Lassila, O. (2001). The semantic web. Scientific American, 5(1).

    Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • Card, S., Mackinlay, J., and Shneiderman, B. (Eds.). (1999). Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann.

    Google Scholar 

  • Card, S. K. (1996). Visualizing retrieved information: A survey. IEEE Computer Graphics and Applications, 16(2), 63–67.

    Article  Google Scholar 

  • Chen, C. (1998a). Bridging the gap: The use of Pathfinder networks in visual navigation. Journal of Visual Languages and Computing, 9(3), 267–286.

    Article  Google Scholar 

  • Chen, C. (1998b). Generalized Similarity Analysis and Pathfinder Network Scaling. Interacting with Computers, 10(2), 107–128.

    Article  Google Scholar 

  • Chen, C. (1999). Information Visualization and Virtual Environments. London: Springer-Verlag.

    Google Scholar 

  • Chen, C. (2002). Mapping Scientific Frontiers: The Quest for Knowledge Visualization. London: Springer-Verlag.

    Google Scholar 

  • Chen, C, and Paul, R. J. (2001). Visualizing a knowledge domain’s intellectual structure. Computer, 34(3), 65–71.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • Crane, D. (1972). Invisible Colleges: Diffusion of Knowledge in Scientific Communities. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122, 108–111.

    Article  Google Scholar 

  • 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 

  • Goguen, J. (2000). Information visualization and semiotic morphisms. University of California at San Diego. Available: http://www-cse.ucsd.edu/users/goguen/papers/sm/vzln.html

    Google Scholar 

  • Hearst, M. A. (1999). User interfaces and visualization. In B. Ribeiro-Neto (Ed.), Modern Information Retrieval (pp. 257–224). Addison-Wesley.

    Google Scholar 

  • 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 

  • Hjorland, B. (1997). Information Seeking and Subject Representation: An Activity-Theoretical Approach to Information Science. Westport: Greenwood Press.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • Kuhn, T. S. (1962). The Structure of Scientific Revolutions. Chicago: University of Chicago Press.

    Google Scholar 

  • McCain, K. W. (1990). Mapping authors in intellectual space: A technical overview. Journal of the American Society for Information Science, 41(6), 433–443.

    Article  Google Scholar 

  • Mukherjea, S. (1999). Information visualization for hypermedia systems. ACM Computing Surveys.

    Google Scholar 

  • Price, D. D. (1963). Little Science, Big Science. New York: Columbia University Press.

    Google Scholar 

  • Price, D. D. (1965). Networks of scientific papers. Science, 149, 510–515.

    Article  Google Scholar 

  • Schvaneveldt, R. W. (Ed.). (1990). Pathfinder Associative Networks: Studies in Knowledge Organization. Norwood, NJ: Ablex.

    Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • Small, H. G., and Griffith, B. C. (1974). The structure of scientific literatures I: Identifying and graphing specialties. Science Studies, 4, 17–40.

    Article  Google Scholar 

  • Small, H. S. (1988). Book review of Callon et al. Scientometrics, 14(1–2), 165–168.

    Article  Google Scholar 

  • Small, H. (1997). Update on science mapping: Creating large document spaces. Scientometrics, 38(2), 275–293.

    Article  MathSciNet  Google Scholar 

  • Spence, B. (2001). Information Visualization. Addison-Wesley.

    Google Scholar 

  • Steinberg, S. G. (1994). The ontogeny of RISC. Intertek, 3(5), 1–10.

    MATH  Google Scholar 

  • Thagard, P. (1992). Conceptual Revolutions. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Ware, C. (2000). Information Visualization: Perception for Design. San Francisco: Morgan Kaufmann.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

Download references

Authors
  1. Chaomei Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Computing, University of Plymouth, Plymouth, PL4 8AA, UK

    Vladimir Geroimenko PhD, DSc

  2. College of Information Science and Technology, Drexel University, Philadelphia, PA, 19104-2875, USA

    Chaomei Chen PhD

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag London

About this chapter

Cite this chapter

Chen, C. (2003). Information Visualization Versus the Semantic Web. In: Geroimenko, V., Chen, C. (eds) Visualizing the Semantic Web. Springer, London. https://doi.org/10.1007/978-1-4471-3737-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-3737-5_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-3739-9

  • Online ISBN: 978-1-4471-3737-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation