Article

Integrating Structure in the Probabilistic Model for Information Retrieval

Authors:

Christine Largeron,

Franck ThollardAuthors Info & Claims

WI-IAT '08: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01

Pages 763 - 769

https://doi.org/10.1109/WIIAT.2008.346

Published: 09 December 2008 Publication History

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Abstract

In databases or in the World Wide Web, many documents are in a structured format (e.g. XML). We propose in this article to extend the classical IR probabilistic model in order to take into account the structure through the weighting of tags. Our approach includes a learning step in which the weight of each tag is computed. This weight estimates the probability that the tag distinguishes the terms which are the most relevant. Our model has been evaluated on a large collection during INEX IR evaluation campaigns.

References

[1]

R. Baeza-Yates and B. Ribeiro-Neto. Modern information retrieval. Addison-Wesley, 1999.

Digital Library

[2]

J. Boyan, D. Freitag, and T. Joachims. A machine learning architecture for optimizing web search engines. In AAAI Workshop on Internet-Based Information Systems, 1996.

[3]

L. Denoyer and P. Gallinari. The wikipedia XML corpus. In SIGIR forum, volume 40, pages 64-69, 2006.

Digital Library

[4]

N. Fuhr and K. Grosjohann. XIRQL: A query language for information retrieval in XML documents. In Research and Development in Information Retrieval, 2001.

Digital Library

[5]

N. Fuhr and K. Großjohann. XIRQL: An extension of XQL for information retrieval, July 2000. In ACM SIGIR, Workshop On XML and Information Retrieval, Athens, Greece.

[6]

M. Fuller, E. Mackie, R. Sacks-Davis, and R. Wilkinson. Coherent answers for a large structured document collection. In SIGIR, pages 204-213, 1993.

Digital Library

[7]

M. Géry, C. Largeron, and F. Thollard. UJM at INEX 2007: document model integrating XML tags. In Proc. of INitiative for the Evaluation of XML Retrieval, Dagstuhl, 2008.

Digital Library

[8]

J. Kamps, M. Marx, M. de Rijke, and B. Sigurbjörnsson. Structured queries in XML retrieval. In CIKM, 2005.

Digital Library

[9]

J. Kamps, J. Pehcevski, G. Kazai,M. Lalmas, and S. Robertson. INEX 2007 evaluation measures. In N. Fuhr, M. Lalmas, A. Trotman, and J. Kamps, editors, Focused access to XML documents, 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, December 2007.

[10]

Y.-H. Kim, S. Kim, J.-H. Eom, and B.-T. Zhang. Scai experiments on trec-9. In Proc. of the Text Retrieval Conference (TREC-9), pages 392-399, 2000.

[11]

D. Konopnicki and O. Schmueli. W3qs : A query system for the world-wide web. In 21st Intl. Conf. on Very Large Data Bases (VLDB'95), pages 54-65, Sept. 1995.

Digital Library

[12]

E. Kotsakis. Structured information retrieval in XML documents, 2002. in 17th ACM Symposium on Applied Computing, pp 663-667, 2002.

Digital Library

[13]

W. Lu, S. E. Robertson, and A. MacFarlane. Field-weighted XML retrieval based on bm25. In INEX, 2005.

Digital Library

[14]

G. Navarro and R. A. Baeza-Yates. A language for queries on structure and contents of textual. In SIGIR, 1995.

Digital Library

[15]

K. Pinel-Sauvagnat, L. Hlaoua, and M. Boughanem. XFIRM at INEX 2005: adhoc and relevance feedback tracks. In INitiative for the Evaluation of XML Retrieval (INEX), Dagstuhl, pages 88-103, 2005.

Digital Library

[16]

J. Rapela. Automatically combining ranking heuristics for html documents. In 3rd International Workshop on Web Information and Data Management (WIDM) In Conjunction with ACM CIKM, pages 61-67, 2001.

Digital Library

[17]

S. Robertson and K. S. Jones. Relevance weighting of search terms. Journal of the American Society for Information Sciences , 27(3):129-146, 1976.

[18]

S. Robertson, H. Zaragoza, and M. Taylor. Simple BM25 extension to multiple weighted fields. In CIKM '04, pages 42-49, New York, NY, USA, 2004.

Digital Library

[19]

G. Salton and M. McGill. Introduction to modern Information Retrieval. McGraw-Hill, 1983.

Digital Library

[20]

T. Schlieder and H. Meuss. Querying and ranking XML documents. JASIST journal, 53(6):489-503, 2002.

Digital Library

[21]

J. Swets. Information retrieval systems. Science, 141:245- 250, 1963.

[22]

A. Trotman. Choosing document structure weights. Information Processing and Management, 41(2):243-264, 2005.

Digital Library

[23]

R. Wilkinson. Effective retrieval of structured documents. In Research and Development in Information Retrieval, 1994.

Digital Library

[24]

J. E. Wolff, H. Florke, and A. B. Cremers. Searching and browsing collections of structural information. In Advances in Digital Libraries, pages 141-150, 2000.

Digital Library

Cited By

Beigbeder MGéry MLargeron CSeck H(2010)ENSM-SE and UJM at INEX 2010Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval10.5555/2040369.2040373(44-53)Online publication date: 13-Dec-2010
https://dl.acm.org/doi/10.5555/2040369.2040373
Arvola PGeva SKamps JSchenkel RTrotman AVainio J(2010)Overview of the INEX 2010 ad hoc trackProceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval10.5555/2040369.2040371(1-32)Online publication date: 13-Dec-2010
https://dl.acm.org/doi/10.5555/2040369.2040371
Géry MLargeron C(2009)UJM at INEX 2009 ad hoc trackProceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval10.5555/1881065.1881077(88-94)Online publication date: 7-Dec-2009
https://dl.acm.org/doi/10.5555/1881065.1881077

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Integrating Structure in the Probabilistic Model for Information Retrieval

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cover image ACM Conferences

WI-IAT '08: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01

December 2008

963 pages

ISBN:9780769534961

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SIGAI: ACM Special Interest Group on Artificial Intelligence

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IEEE Computer Society

United States

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Published: 09 December 2008

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Cited By

Beigbeder MGéry MLargeron CSeck H(2010)ENSM-SE and UJM at INEX 2010Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval10.5555/2040369.2040373(44-53)Online publication date: 13-Dec-2010
https://dl.acm.org/doi/10.5555/2040369.2040373
Arvola PGeva SKamps JSchenkel RTrotman AVainio J(2010)Overview of the INEX 2010 ad hoc trackProceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval10.5555/2040369.2040371(1-32)Online publication date: 13-Dec-2010
https://dl.acm.org/doi/10.5555/2040369.2040371
Géry MLargeron C(2009)UJM at INEX 2009 ad hoc trackProceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval10.5555/1881065.1881077(88-94)Online publication date: 7-Dec-2009
https://dl.acm.org/doi/10.5555/1881065.1881077

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