Skip to main content
SpringerLink
Log in

Multidimensional Visualization and Navigation in Search Results

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

Abstract

Search engines traditionally index unstructured text and return ranked lists of documents that match a given query. As search engines functionally move in the direction of traditional databases and offer scalable and efficient handling also of structured textual and numerical data, this way of presenting results needs to be revisited and augmented with alternative presentation modes. This paper presents a multidimensional visualization scheme with navigational capabilities, built on top of a data aggregation framework implemented in a state-of-the-art search engine. The proposed visualization scheme is designed to provide analytic understanding of the result set also for ad hoc queries, and correlates user-specified dimensions or attributes of the documents. By employing advanced linguistic and entity extraction techniques, the scheme can also be applied in situations where the original documents consist of unstructured text.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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

  1. Allen, R.B., Obry, P., Littman, M.: An Interface for Navigating Clustered Documents Sets Returned by Queries. In: Proceedings of SIGOIS, Milpitas CA, pp. 203–208 (1993)

    Google Scholar 

  2. Benford, S., Snowdon, D., Greenhalgh, C., Ingram, R., Knox, I., Brown, C.: VR-VIBE: A Virtual Environment for Co-operative Information Retrieval. In: Eurographics 1995, Maastricht, The Netherlands, pp. 349–360 (1995)

    Google Scholar 

  3. http://jamesthornton.com/cf/

  4. http://bailando.sims.berkeley.edu/flamenco.html

  5. Efthimiadis, E.: Interactive Query expansion and Relevance Feedback for document Retrieval Systems. PhD thesis, City University, London, UK (1992)

    Google Scholar 

  6. Fowler, R., Wilson, B., Fowler, W.: Information Navigator: An information system using associative networks for display and retrieval, Report NAG9-551, No. 92-1, Univ. of Texas - Pan American, Edinburg TX http://bahia.cs.panam.edu/info_vis/inf_nav/info_nav_tr_92.html

  7. Hearst, M., Karadi, C.: Cat-a-Cone: An Interactive Interface for Specifying Searches and viewing Retrieval Results using a Large Category Hierarchy. In: Proceedings 20th Annual International ACM/SIGIR Conference, Phil PA (1997) http://www2.parc.com/istl/projects/ia/papers/cac-sigir97/sigir97.html

  8. Hearst, M.A., Pedersen, J.O.: Visualizing Information Retrieval Results: A Demonstration of the TitleBar Interface. In: CHI 1996 Proceedings (1996)

    Google Scholar 

  9. Koenemann, J., Belkin, N.J.: A Case For Interaction: A Study of Interactive Information Retrieval Behaviour and Effectiveness. In: CHI 1996 Proceedings (1996)

    Google Scholar 

  10. Lamping, J., Rao, R., Pirolli, P.: A Focus+Context Technique Based on Hyperbolic Geometry for Visualizing Large Hierarchies. In: CHI 1995 Proceedings: Conference on Human Factors in Computer Systems: Mosaic of Creativity, Denver CO (1995)

    Google Scholar 

  11. Lee, C., Chen, Y.-T.: Distributed visual reasoning for intelligent information retrieval on the Web. Interacting with Computers 12, 445–467 (2000)

    Article  Google Scholar 

  12. Li, W.-S., Shim, J., Candan, J.S.: WebDB: A system for querying semi-structured data on the web. Journal of Visual Languages and Computing 13, 3–33 (2002)

    Article  Google Scholar 

  13. Newby, G.B.: Empirical Study of 3D Visualization for Information Retrieval Tasks. Journal of Intelligent Information Systems 18, 31–53 (2002)

    Article  Google Scholar 

  14. NIST PRISE Search Engine: http://www.itl.nist.gov/iaui/894.02/works/papers/zp2/zp2.html

  15. Rennison, E.: Galaxy of News: An approach to Visualizing and Understanding Expansive News Landscapes. In: Proceedings of UITS 1994(1994)

    Google Scholar 

  16. A summary of the Sarbanes-Oxely Act of 2002, http://www.aicpa.org/info/sarbanes_oxley_summary.htm

  17. Sebrechts, M.M., Vasilakis, J., Miller, M.S., Cugini, J.V., Laskowski, S.J.: Visualization of Search Results: A Comparative Evaluation of Text, 2D and 3D Interfaces. Research and Development in Information Retrieval, 3–10 (1999)

    Google Scholar 

  18. Stenmark, D.: To Search is Great, to Find is Greater: a Study of Visualisation Tools for the Web, http://webb.informatik.gu.se/~dixi/publ/mdi.htm

  19. Sutcliffe, A.G., Ennis, M., Hu, J.: Evaluating the effectiveness of visual user interfaces for information retrieval. International Journal of Human Computer Studies 53, 741–763 (2000)

    Article  MATH  Google Scholar 

  20. Swan, R.C., Allan, J.: Aspect Windows, 3D Visualizations, and Indirect Comparison of Information Retrieval Systems. In: Proceedings of the 21st Annual International ACM/SIGIR Conference, Melbourne, Australia (1998)

    Google Scholar 

  21. Wise, J.: The Ecological Approach to Text Visualization. JASIS (1998)

    Google Scholar 

  22. Zhou, X., Yates, J.D., Chen, G.: Using visual spatial search interface for WWW applications. Information Systems 26, 61–74 (2001)

    Article  MATH  Google Scholar 

  23. Zlobin, D., Roudometkine, A.: Visual representation of document-oriented information on the Web. In: Proceedings of the APL Berlin 2000 Conference, pp. 247–254 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Norwegian University of Science and Technology, NO-7491, Trondheim, Norway

    Will Archer Arentz

  2. Fast Search & Transfer ASA, P.O. Box 1677 Vika, NO-0120, Oslo, Norway

    Aleksander Øhrn

Authors
  1. Will Archer Arentz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Aleksander Øhrn
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Arentz, W.A., Øhrn, A. (2004). Multidimensional Visualization and Navigation in Search Results. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_86

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30132-5_86

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation