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BUAP: A Recursive Approach to the Data-Centric Track of INEX 2011

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Book cover Focused Retrieval of Content and Structure (INEX 2011)

Abstract

A recursive approach for keyword search on XML data for the Ad-Hoc Search Task of INEX 2011 is presented in this paper. The aim of this approach was to detect the concrete part (in the representation tree) of the XML document containing the expected answer. For this purpose, we initially obtain a tree structure, which represents an XML document, tagged by levels. A typical search engine based on posting lists is used in order to determine those documents that match in some degree with the terms appearing in the given query(topic). Thereafter, in a recursively process, we navigate into the tree structure until we find the best match for the topic. The obtained results are shown and compared with the best overall submission score obtained in the competition.

This work has been partially supported by the CONACYT project #106625, VIEP # VIAD-ING11-II and # PIAD-ING11-II, as well as by the PROMEP/103.5/09/4213 grant.

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References

  1. Trotman, A., Wang, Q.: Overview of the INEX 2010 Data Centric Track. In: Geva, S., Kamps, J., Schenkel, R., Trotman, A. (eds.) INEX 2010. LNCS, vol. 6932, pp. 171–181. Springer, Heidelberg (2011)

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  2. Wang, Q., Ramírez, G., Marx, M., Theobald, M., Kamps, J.: Overview of the INEX 2011 Data Centric Track. In: Geva, S., Kamps, J., Schenkel, R. (eds.) INEX 2011. LNCS, vol. 7424, pp. 118–137. Springer, Heidelberg (2012)

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© 2012 Springer-Verlag Berlin Heidelberg

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Vilariño Ayala, D., Pinto, D., Silverio, S.L., Castillo, E., Vidal, M.T. (2012). BUAP: A Recursive Approach to the Data-Centric Track of INEX 2011. In: Geva, S., Kamps, J., Schenkel, R. (eds) Focused Retrieval of Content and Structure. INEX 2011. Lecture Notes in Computer Science, vol 7424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35734-3_14

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  • DOI: https://doi.org/10.1007/978-3-642-35734-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35733-6

  • Online ISBN: 978-3-642-35734-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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