Skip to main content

A Methodology for Producing Improved Focused Elements

  • Conference paper
Focused Retrieval and Evaluation (INEX 2009)

Abstract

This paper reports the results of our experiments to consistently produce highly ranked focused elements in response to the Focused Task of the INEX Ad Hoc Track. The results of these experiments, performed using the 2008 INEX collection, confirm that our current methodology (described herein) produces such elements for this collection. Our goal for 2009 is to apply this methodology to the new, extended 2009 INEX collection to determine its viability in this environment. (These experiments are currently underway.) Our system uses our method for dynamic element retrieval [4], working with the semi-structured text of Wikipedia [5], to produce a rank-ordered list of elements in the context of focused retrieval. It is based on the Vector Space Model [15]; basic functions are performed using the Smart experimental retrieval system [14]. Experimental results are reported for the Focused Task of both the 2008 and 2009 INEX Ad Hoc Tracks.

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

Access this chapter

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. Bapat, S.: Improving the results for focused and relevant-in-context tasks. M.S. Thesis, University of Minnesota Duluth (2008), http://www.d.umn.edu/cs/thesis/bapat.pdf

  2. Bhirud, D.: Focused retrieval using upper bound methodology. M.S. Thesis, University of Minnesota Duluth (2009), http://www.d.umn.edu/cs/thesis/bhirud.pdf

  3. Broschart, A., Schenkel, R., Theobald, M.: Experiments with proximity-aware scoring for XML retrieval at INEX 2008. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2008. LNCS, vol. 5631, pp. 29–32. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  4. Crouch, C.: Dynamic element retrieval in a structured environment. ACM TOIS 24(4), 437–454 (2006)

    Article  Google Scholar 

  5. Crouch, C., Crouch, D., Kamat, N., Malik, V., Mone, A.: Dynamic element retrieval in the Wikipedia collection. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds.) INEX 2007. LNCS, vol. 4862, pp. 70–79. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. Crouch, C., Crouch, D., Bapat, S., Mehta, S., Paranjape, D.: Finding good elements for focused retrieval. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2008. LNCS, vol. 5631, pp. 33–38. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  7. Gery, M., Largeron, C., Thollard, F.: UMJ at INEX 2008: pre-impacting of tags weights. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2008. LNCS, vol. 5631, pp. 46–53. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  8. Itakura, K., Clarke, C.: University of Waterloo at INEX 2008: adhoc, book, and link-the Wiki tracks. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2008. LNCS, vol. 5631, pp. 132–139. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  9. Khanna, S.: Design and implementation of a flexible retrieval system. M.S. Thesis, University of Minnesota Duluth (2005), http://www.d.umn.edu/cs/thesis/khanna.pdf

  10. Lehtonen, M., Doucet, A.: Enhancing keyword search with a keyphrase index. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2008. LNCS, vol. 5631, pp. 65–70. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  11. Mone, A.: Dynamic element retrieval for semi-structured documents. M.S. Thesis, University of Minnesota Duluth (2007), http://www.d.umn.edu/cs/thesis/mone.pdf

  12. Polumetla, C.: Improving results for the relevant-in-context task. M.S. Thesis, University of Minnesota Duluth (2009), http://www.d.umn.edu/cs/thesis/polumetla_c.pdf

  13. Poluri, P.: Focused retrieval using exact methodology. M.S. Thesis, University of Minnesota Duluth (2009), http://www.d.umn.edu/cs/thesis/poluri.pdf

  14. Salton, G. (ed.): The Smart Retrieval System—Experiments in Automatic Document Processing. Prentice-Hall, Englewood Cliffs (1971)

    Google Scholar 

  15. Salton, G., Wong, A., Yang, C.S.: A vector space model for automatic indexing. ACM Comm. 18(11), 613–620 (1975)

    Article  MATH  Google Scholar 

  16. Singhal, A., Buckley, C., Mitra, M.: Pivoted document length normalization. In: Proc. of the 19th Annual International ACM SIGIR Conference, pp. 21–29 (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Crouch, C.J., Crouch, D.B., Bhirud, D., Poluri, P., Polumetla, C., Sudhakar, V. (2010). A Methodology for Producing Improved Focused Elements. In: Geva, S., Kamps, J., Trotman, A. (eds) Focused Retrieval and Evaluation. INEX 2009. Lecture Notes in Computer Science, vol 6203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14556-8_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14556-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14555-1

  • Online ISBN: 978-3-642-14556-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics