Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Faceted Search

  • Susan Dumais
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_159

Synonyms

Dynamic taxonomies; Faceted browsing; Hierarchical faceted metadata

Definition

The term facetmeans “little face” and is often used to describe one side of a many-sided object, especially a cut gemstone. In the context of information science, where the item being described is an information object, facets could refer to the object’s author, date, topic, etc. Facets are used to describe both the organization of information (faceted classification), and to interface techniques that provide flexible access to that information (faceted search). The motivation for faceted classification and search is that any single organizational structure is too limiting to accommodate access to complex domains. Multiple independent facets provide alternative ways of getting to the same information, thus supporting a wider range of end-user tasks and knowledge. The fields of faceted classification, information architecture, and data modeling provide theory and methods for identifying and...

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

Recommended Reading

  1. 1.
    Bast H, Weber I. The complete search engine: interactive, efficient and towards IR & DB integration. In: Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research; 2007. p. 88–95.Google Scholar
  2. 2.
    Cutrell E, Robbins DC, Dumais ST, Sarin R. Fast, flexible filtering with phlat – personal search and organization made easy. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; 2006. p. 261–70.Google Scholar
  3. 3.
    Greene S, Marchionini G, Plaisant C, Shneiderman B. Previews and overviews in digital libraries: designing surrogates to support visual information-seeking. J Am Soc Inform Sci. 2000;51(3):380–93.CrossRefGoogle Scholar
  4. 4.
    Hearst M, Smalley P, Chander C. Faceted metadata for information architecture and search. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; 2006.Google Scholar
  5. 5.
    Mooers CN. Zatocoding applied to mechanical organization of knowledge. Am Doc. 1951;2(1):20–32.CrossRefGoogle Scholar
  6. 6.
    Pollitt AS. A common query interface using MenUSE – a menu-based user search engine. In: Proceedings of the 12th International Online Information Meeting; 1988. p. 445–57.Google Scholar
  7. 7.
    Ranganathan SR. Colon classification. Madras: The Madras Library Association; 1933.Google Scholar
  8. 8.
    Remde JR, Gomez L, Landauer TK. SuperBook: an automatic tool for information exploration. In: Proceedings of the Hypertext’87, Conference; 1987. p. 175–88.Google Scholar
  9. 9.
    Rosenfeld L, Morville P. Information architecture for the World Wide Web. Sebastapol: O’Reilly Media; 2006.Google Scholar
  10. 10.
    Sacco GM. Dynamic taxonomies: a model for large information bases. IEEE Trans Knowl Data Eng. 2000;12(2):468–79.CrossRefGoogle Scholar
  11. 11.
    Shneiderman B. Dynamic queries for visual information seeking. IEEE Softw. 1994;11(6):70–7.CrossRefGoogle Scholar
  12. 12.
    Taube M et al. Studies in coordinate indexing (vols. 1–5). Washington, DC: Documentation; 1953–1959.Google Scholar
  13. 13.
    Vickery BC. Faceted classification: a guide to the construction and use of special schemes. London: ASLIB; 1960.Google Scholar
  14. 14.
    Yee K, Swearingen K, Li K, Hearst M. Faceted metadata for image search and browsing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; 2003. p. 401–8.Google Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Microsoft ResearchRedmondUSA

Section editors and affiliations

  • Cong Yu
    • 1
  1. 1.Google ResearchNew YorkUSA