Skip to main content
SpringerLink
Log in
Book cover

European Conference on Information Retrieval

ECIR 2003: Advances in Information Retrieval pp 491–501Cite as

Vertical Searching in Juridical Digital Libraries

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2633))

Abstract

In the world of modern digital libraries, the searching for juridical information of interest is a current and relevant problem. We approach this problem from the perspective that a new searching mechanism, specialized in the juridical area, will work better than standard solutions. We propose a specialized (or vertical) searching mechanism that combines information from a juridical thesaurus with information generated by a standard searching mechanism (the classic vector space model), using the framework of a Bayesian belief network. Our vertical searching mechanism is evaluated using a reference collection of 552,573 documents. The results show improvements in retrieval performance, suggesting that the study and development of vertical searching mechanisms is a promising research direction.

Partially supported by Brazilian CNPq scholarship grant 141294/2000-0.

Partially supported by Brazilian CNPq Individual Grant 300.188/95-1, Finep/MCT/CNPq Grant 76.97.1016.00 (project SIAM), and CNPq Grant 17.0435/01-6 (project I3DL).

This is a preview of subscription content, 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   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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. Alan Gilchrist. The Thesaurus in Retrieval. Aslib, London, 1971.

    Google Scholar 

  2. Jane Greenberg. Automatic query expansion via lexical-semantic relationships. Journal of the American Society for Information Science and Technology, 52(5):402–415, 2001.

    Article  Google Scholar 

  3. Jane Greenberg. Optimal query expansion (QE) processing methods with semantically encoded structured thesauri terminology. Journal of the American Society for Information Science and Technology, 52(6):487–498, 2001.

    Article  Google Scholar 

  4. Federal Justice Council (CJF) in Brazil. http://www.cjf.gov.br, 2002.

  5. Jaana Kristensen. Expanding end-users’ query statements for free text searching with a search-aid thesaurus. Information Processing & Management, 29(6):733–744, 1993.

    Article  Google Scholar 

  6. Frederick Wilfrid Lancaster. Indexing and Abstracting in Theory and Practice. Library Association Publishing, London, 1991.

    Google Scholar 

  7. Rila Mandala, Takenobu Tokunaga, and Hozumi Tanaka. Query expansion using heterogeneous thesauri. Information Processing & Management, 36(2000):361–378, 2000.

    Article  Google Scholar 

  8. Federal Court of Appeals First Region (TRF1). http://www.trf1.gov.br, 2002.

  9. Superior Court of Justice (STJ). http://www.stj.gov.br, 2002.

  10. Judea Pearl. Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann, Los Altos, California, 1988.

    Google Scholar 

  11. Yonggang Qiu and H. P. Frei. Concept based query expansion. In Proceedings of the sixteenth annual international ACM SIGIR conference on Research and Development in Information Retrieval, pages 160–169, 1993.

    Google Scholar 

  12. Berthier Ribeiro-Neto and Richard R. Muntz. A belief network model for IR. In ACM Conference on Research and Development in Information Retrieval — SIGIR96, pages 253–260, 1996.

    Google Scholar 

  13. Berthier Ribeiro-Neto, Ilmério Silva, and Richard Muntz. Bayesian network models for IR. In Fabio Crestani and Gabriella Pasi, editors, Soft Computing in Information Retrieval Techniques and Applications, pages 259–291. Springer Verlag, 2000.

    Google Scholar 

  14. G. Salton and M. J. McGill. Introduction to Modern Information Retrieval. McGraw-Hill Book Co., New York, 1983.

    MATH  Google Scholar 

  15. Ali Asghar Shiri and Crawford Revie. Thesauri on the web: current developments and trends. Online Information Review, 24(4):273–279, 2000.

    Article  Google Scholar 

  16. Ilmério Silva, Berthier Ribeiro-Neto, Pável Calado, Edleno Moura, and Nivio Ziviani. Link-based and content-based evidential information in a belief network model. In ACM Conference on Research and Development in Information Retrieval — SIGIR 2000, pages 96–103, 2000. Best Student paper.

    Google Scholar 

  17. Supreme Federal Court (STF). http://www.stf.gov.br, 2002.

  18. Ellen M. Voorhees and Donna Harman. Overview of the fifth Text Retrieval Conference. In Proceedings of the fifth Text REtrieval Conference (TREC-5), pages 1–28. National Institute of Standards and Technology, Gaithersburg, MD 20899, 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department of the Federal University of Minas Gerais, Brazil

    Maria de Lourdes da Silveira & Berthier Ribeiro-Neto

  2. Prodabel — Information Technology Company for the City of Belo Horizonte, Brazil

    Maria de Lourdes da Silveira

  3. Akwan Information Technologies, Brazil

    Berthier Ribeiro-Neto & Rodrigo de Freitas Vale

  4. Central Bank of Brazil, Brazil

    Rodrigo Tôrres Assumpção

Authors
  1. Maria de Lourdes da Silveira
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Berthier Ribeiro-Neto
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rodrigo de Freitas Vale
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Rodrigo Tôrres Assumpção
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Instituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Via Giuseppe Moruzzi, 1, 56124, Pisa, Italy

    Fabrizio Sebastiani

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

de Lourdes da Silveira, M., Ribeiro-Neto, B., de Freitas Vale, R., Tôrres Assumpção, R. (2003). Vertical Searching in Juridical Digital Libraries. In: Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2003. Lecture Notes in Computer Science, vol 2633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36618-0_35

Download citation

  • DOI: https://doi.org/10.1007/3-540-36618-0_35

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-01274-0

  • Online ISBN: 978-3-540-36618-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation