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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4518))

Abstract

XML retrieval is a discipline of information retrieval that focuses on the retrieval of specific document fragments that answer a user information need, while exploiting the structural information available in a document. The contribution of this article is twofold. It presents the effective and scalable retrieval model of the XSee search engine for XML documents, and shows that the model is stable over the different collections used for INEX. Furthermore, we discuss how the effectiveness of the retrieval model can be enhanced using different reranking methods based on the structural characteristics.

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References

  1. Fuhr, N., Lalmas, M., Malik, S., Kazai, G.: Advances in XML Information Retrieval and Evaluation. In: Fuhr, N., Lalmas, M., Malik, S., Kazai, G. (eds.) INEX 2005. LNCS, vol. 3977, Springer, Heidelberg (2006)

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  2. Geva, S.: Gpx - gardens point xml information retrieval at inex 2004. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds.) INEX 2004. LNCS, vol. 3493, pp. 211–223. Springer, Heidelberg (2005)

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  3. Gövert, N., Kazai, G.: Overview of the initiative for the evaluation of xml retrieval (inex) 2002. In: Fuhr, N., Gövert, N., Kazai, G., Lalmas, M. (eds.) INEX Workshop, pp. 1–17 (2002)

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  4. Pehcevski, J., Thom, J.A., Tahaghoghi, S.M.M.: Rmit university at inex 2005: Ad hoc track. In: Fuhr, et al. [1], pp. 306–320 ( 2005)

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  5. Sauvagnat, K., Hlaoua, L., Boughanem, M.: Xfirm at inex 2005: Ad-hoc and relevance feedback tracks. In: Fuhr, et al. [1], pp. 88–103 ( 2005)

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  6. van Zwol, R.: B3-sdr and effective use of structural hints. In: Fuhr, et al. [1], pp. 146–160

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  7. Weerkamp, W.: Optimising structured document retrieval using focused and relevant in context strategies. Master’s thesis, Utrecht University, the Netherlands (2006)

    Google Scholar 

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Norbert Fuhr Mounia Lalmas Andrew Trotman

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© 2007 Springer-Verlag Berlin Heidelberg

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van Zwol, R., Weerkamp, W. (2007). XSee: Structure Xposed. In: Fuhr, N., Lalmas, M., Trotman, A. (eds) Comparative Evaluation of XML Information Retrieval Systems. INEX 2006. Lecture Notes in Computer Science, vol 4518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73888-6_27

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  • DOI: https://doi.org/10.1007/978-3-540-73888-6_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73887-9

  • Online ISBN: 978-3-540-73888-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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