Skip to main content

On-the-Fly Generation of Facets as Navigation Signs for Web Objects

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7238))

Abstract

We propose a method to generate facets dynamically to enhance the navigation of objects returned by a web-based search query. Facets denote axes for classifying a currently viewed object and related objects and are used as navigation signs to indicate their positions. Facets are generated by detecting hypernyms and coordinate terms of expressions that characterize objects. To be effectively used for browsing search results, generated facets are ranked. We implemented a prototype system that shows returned images from an image search classified by multiple facets. The results of an experiment to assess the facets showed that the average precision of correct facets in all queries obtained using our system is up to 82.7% for the top three and up to 77.6% for the top five ranked facets.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Basu Roy, S., Wang, H., Das, G., Nambiar, U., Mohania, M.: Minimum-effort driven dynamic faceted search in structured databases. In: Proc. CIKM 2008, pp. 13–22 (2008)

    Google Scholar 

  2. Cui, H., Wen, J.R., Nie, J.Y., Ma, W.Y.: Probabilistic query expansion using query logs. In: Proc. WWW 2002, pp. 325–332 (2002)

    Google Scholar 

  3. Dash, D., Rao, J., Megiddo, N., Ailamaki, A., Lohman, G.: Dynamic faceted search for discovery-driven analysis. In: Proc. CIKM 2008, pp. 3–12 (2008)

    Google Scholar 

  4. Furnas, G., Landauer, T., Gomez, L., Dumais, S.: The vocabulary problem in human-system communication. Communications of the ACM 30, 964–971 (1987)

    Article  Google Scholar 

  5. Ghahramani, Z., Heller, K.: Bayesian sets. In: Proc. NIPS 2005, pp. 435–442 (2005)

    Google Scholar 

  6. Hearst, M.: Search User Interface. Cambridge University Press (2009)

    Google Scholar 

  7. Hearst, M.: Automatic acquisition of hyponyms from large text corpora. In: Proc. Coling 1992, pp. 539–545 (1992)

    Google Scholar 

  8. Li, C., Yan, N., Roy, S., Lisham, L., Das, G.: Facetedpedia: dynamic generation of query-dependent faceted interfaces for wikipedia. In: Proc. WWW 2010, pp. 651–660 (2010)

    Google Scholar 

  9. Lim, S., Liu, Y., Lee, W.: Faceted search and retrieval based on semantically annotated product family ontology. In: Proc. WSDM 2009 Workshop on Exploiting Semantic Annotations in Information Retrieval, pp. 15–24 (2009)

    Google Scholar 

  10. Miller, G.: WordNet: a lexical database for English. Communications of the ACM 38(11), 39–41 (1995)

    Article  Google Scholar 

  11. Ohshima, H., Tanaka, K.: Real time extraction of related terms by bi-directional lexico-syntactic patterns from the web. In: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, pp. 441–449 (2009)

    Google Scholar 

  12. Pound, J., Paparizos, S., Tsaparas, P.: Facet discovery for structured web search: a query-log mining approach. In: Proc. SIGMOD 2011, pp. 169–180 (2011)

    Google Scholar 

  13. Shannon, C., Weaver, W.: The mathematical theory of communication (1959)

    Google Scholar 

  14. Shinzato, K., Torisawa, K.: A simple www-based method for semantic word class acquisition. In: Proc. RANLP 2005, vol. 292, p. 207 (2007)

    Google Scholar 

  15. Tsuruoka, Y., Tsujii, J.: Bidirectional inference with the easiest-first strategy for tagging sequence data. In: Proc. of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, pp. 467–474 (2005)

    Google Scholar 

  16. Tunkelang, D.: Dynamic category sets: An approach for faceted search. In: SIGIR Workshop on Faceted Search (2006)

    Google Scholar 

  17. Wen, J.R., Nie, J.Y., Zhang, H.J.: Clustering user queries of a search engine. In: Proc. WWW 2001, pp. 162–168 (2001)

    Google Scholar 

  18. Yee, K., Swearingen, K., Li, K., Hearst, M.: Faceted metadata for image search and browsing. In: Proc. SIGCHI 2003, pp. 401–408 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kawano, Y., Ohshima, H., Tanaka, K. (2012). On-the-Fly Generation of Facets as Navigation Signs for Web Objects. In: Lee, Sg., Peng, Z., Zhou, X., Moon, YS., Unland, R., Yoo, J. (eds) Database Systems for Advanced Applications. DASFAA 2012. Lecture Notes in Computer Science, vol 7238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29038-1_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29038-1_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29037-4

  • Online ISBN: 978-3-642-29038-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics