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Flexible Retrieval Based on the Vector Space Model

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Advances in XML Information Retrieval (INEX 2004)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3493))

Abstract

This paper describes the current state of our system for structured retrieval. The system itself is based on an extension of the vector space model initially proposed by Fox [5]. The basic functions are performed using the Smart experimental retrieval system [11]. The major advance achieved this year is the inclusion of a flexible capability, which allows the system to retrieve at a desired level of granularity (i.e., at the element level). The quality of the resultant statistics is largely dependent on issues (in particular, ranking) which have yet to be resolved.

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References

  1. Bellamkonda, A.: Automation of Content-and-Structure query processing. Master’s Thesis, Dept. of Computer Science, University of Minnesota Duluth (2004), http://www.d.umn.edu/cs/thesis/bellamkonda.pdf

  2. Crouch, C., Apte, S., Bapat, H.: Using the extended vector model for XML retrieval. In: Proc. of the First Workshop of the Initiative for the Evaluation of XML Retrieval (INEX), Schloss Dagstuhl, pp. 99–104 (2002)

    Google Scholar 

  3. Crouch, C., Apte, S., Bapat, H.: An approach to structured retrieval based on the extended vector model. In: Proc. of the Second Workshop of the Initiative for the Evaluation of XML Retrieval (INEX), Schloss Dagstuhl, pp. 87–93 (2003)

    Google Scholar 

  4. Crouch, C., Crouch, D., Nareddy, K.: The automatic generation of extended queries. In: Proc. of the 13th Annual International ACM SIGIR Conference, Brussels, pp. 369–383 (1990)

    Google Scholar 

  5. Fox, E.A.: Extending the Boolean and vector space models of information retrieval with p-norm queries and multiple concept types. Ph.D. Dissertation, Department of Computer Science, Cornell University (1983)

    Google Scholar 

  6. Fox, E., Nunn, G., Lee, W.: Coefficients for combining concept classes in a collection. In: Proc. of the 11th Annual International ACM SIGIR Conference, Grenoble, pp. 291–307 (1988)

    Google Scholar 

  7. Fuhr, N., GrossJohann, K.: XIRQL: A query language for information retrieval in XML documents. In: Proc. of the 24th Annual International ACM SIGIR Conference, New Orleans, pp. 172–180 (2001)

    Google Scholar 

  8. Kamps, J., de Rijke, M., Sigurbjornsson, B.: Length normalization in XML retrieval. In: Proc. of the 27th Annual International ACM SIGIR Conference, Sheffield, England, pp. 80–87 (2004)

    Google Scholar 

  9. Liu, S., Zou, Q., Chu, W.: Configurable indexing and ranking for XML information retrieval. In: Proc. of the 27th Annual International ACM SIGIR Conference, Sheffield, England, pp. 88–95 (2004)

    Google Scholar 

  10. Mahajan, A.: Flexible retrieval in a structured environment. Master’s Thesis, Dept. of Computer Science, University of Minnesota Duluth cs/thesis/mahajan.pdf (2004), http://www.d.umn.edu/

  11. Salton, G.: Automatic information organization and retrieval. Addison-Wesley, Reading (1968)

    Google Scholar 

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

    Article  Google Scholar 

  13. Salton, G., Buckley, C.: Term weighting approaches in automatic text retrieval. IP&M 5, 513–523 (1988)

    Google Scholar 

  14. Singhal, A.: AT&T at TREC-6. In: The Sixth Text REtrieval Conf. (TREC-6), NIST SP 500-240, pp. 215–225 (1998)

    Google Scholar 

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

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Crouch, C.J., Mahajan, A., Bellamkonda, A. (2005). Flexible Retrieval Based on the Vector Space Model. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds) Advances in XML Information Retrieval. INEX 2004. Lecture Notes in Computer Science, vol 3493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424550_23

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  • DOI: https://doi.org/10.1007/11424550_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26166-7

  • Online ISBN: 978-3-540-32053-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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