Skip to main content
SpringerLink
Log in

Visualization for Information Retrieval

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 16 Accesses

Definition

Visualization for information retrieval refers to a process that transforms the invisible abstract data and their semantic relationships in a data collection into a visible display and visualizes the internal retrieval processes for users [14]. Basically visualization for information retrieval consists of two components: visually presenting objects in a meaningful way in a defined visual environment or space and visualizing information seeking process within the environment or space. Transformation of the invisible and abstract information and sophisticated semantic connections or relevant relationships into a visual environment requires clearly defining a visual environment or space, pinpointing the objects in a data collection which are displayed in the visual environment, identifying meaningful connections among the objects, and projecting both the objects and the relationships onto the environment. The form and way of visualizing the internal retrieval process vary in...

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 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover 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

Recommended Reading

  1. Asahi T, Turo D, Shneiderman B. Using treemaps to visualize the analytic hierarchy process. Inf Syst Res. 1995;6(4):357–75.

    Article  Google Scholar 

  2. Dearholt DW, Schvaneveldt RW. In: Schvaneveldt RW, editor. Pathfinder associative networks: studies in knowledge organization. Norwood: Ablex Publishing; 1990. p. 1–30.

    Google Scholar 

  3. Katifori A, Halatsis C, Lepouras G, Vassilakis C, Giannopoulou E. Ontology visualization methods – a survey. ACM Comput Surv. 2007;39(4):10.1–10.43.

    Article  Google Scholar 

  4. Korfhage RR. To see or not to see – is that the query? In: Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1991. p. 134–41.

    Google Scholar 

  5. Lin X. Map displays for information retrieval. J Am Soc Inf Sci. 1997;48(1):40–54.

    Article  Google Scholar 

  6. Nguyen TN, Zhang J. A novel visualization model for web search results. IEEE Trans Vis Comput Graph. 2006;12(5):981–8.

    Article  Google Scholar 

  7. Nuchprayoon A, Korfhage RR. GUIDO: a visual tool for retrieving documents. In: Proceedings of the 1994 IEEE Computer Society Workshop on Visual Languages; 1994. p. 64–71.

    Google Scholar 

  8. Olsen KA, Korfhage RR, Sochats KM, Spring MB, Williams JG. Visualization of a document collection: the VIBE system. Inf Process Manag. 1993;29(1):69–81.

    Article  Google Scholar 

  9. Pirolli P, Card SK, van der Wege MM. The effects of information scent on visual search in the hyperbolic tree browser. ACM Trans Comput-Hum Interact. 2003;10(1):20–53.

    Article  Google Scholar 

  10. Robertson GG, Card SK, Mackinlay JD. Information visualization using 3D interactive animation. Commun ACM. 1993;36(4):57–71.

    Article  Google Scholar 

  11. Spoerri A. InfoCrystal: a visual tool for information retrieval and management. In: Proceedings of the 2nd International Conference on Information and Knowledge Management; 1993. p. 11–20.

    Google Scholar 

  12. White HD. Visualizing a discipline: an author co-citation analysis of information science, 1972–1995. J Am Soc Inf Sci Technol. 1998;49(4):327–55.

    Google Scholar 

  13. Zhang J. TOFIR: a tool of facilitating information retrieval – introduce a visual retrieval model. Inf Process Manag. 2001;37(4):639–57.

    Article  MATH  Google Scholar 

  14. Zhang J. Visualization for information retrieval. Berlin: Springer; 2008.

    Book  MATH  Google Scholar 

  15. Zhang J, Korfhage RR. DARE: distance and angle retrieval environment: a tale of the two measures. J Am Soc Inf Sci. 1999;50(9):779–87.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Wisconsin Milwaukee, Milwaukee, WI, USA

    Jin Zhang

Authors
  1. Jin Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jin Zhang .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Library, Archival & Information Studies, The University of British Columbia, Vancouver, British Columbia, Canada

    Edie Rasmussen

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Zhang, J. (2018). Visualization for Information Retrieval. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_954

Download citation

Publish with us

Policies and ethics

Search

Navigation