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Exploiting ID References for Effective Keyword Search in XML Documents

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Database Systems for Advanced Applications (DASFAA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4947))

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Abstract

In this paper, we study novel Tree + IDREF data model for keyword search in XML. In this model, we propose novel Lowest Referred Ancestor (LRA) pair, Extended LRA (ELRA) pair and ELRA group semantics for effective and efficient keyword search. We develop efficient algorithms to compute the search results based on our semantics. Experimental study shows the superiority of our approach.

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References

  1. Berkeley DB, http://www.sleepycat.com/

  2. Cohen, S., Kanza, Y., Kimelfeld, B., Sagiv, Y.: Interconnection semantics for keyword search in Xml. In: Proc. of CIKM Conference, pp. 389–396 (2005)

    Google Scholar 

  3. Guo, L., Shao, F., Botev, C., Shanmugasundaram, J.: XRANK: Ranked keyword search over XML documents. In: SIGMOD, pp. 16–27 (2003)

    Google Scholar 

  4. Kacholia, V., Pandit, S., Chakrabarti, S., Sudarshan, S., Desai, R., Karambelkar, H.: Bidirectional expansion for keyword search on graph databases. In: Proc. of VLDB Conference, pp. 505–516 (2005)

    Google Scholar 

  5. Kimelfeld, B., Sagiv, Y.: Efficiently enumerating results of keyword search. In: Proc. of DBPL Conference, pp. 58–73 (2005)

    Google Scholar 

  6. Li, Y., Yu, C., Jagadish, H.V.: Schema-free XQuery. In: VLDB, pp. 72–83 (2004)

    Google Scholar 

  7. Schmidt, A., Kersten, M.L., Windhouwer, M.: Querying Xml documents made easy: Nearest concept queries. In: ICDE, pp. 321–329 (2001)

    Google Scholar 

  8. Xu, Y., Papakonstantinou, Y.: Efficient keyword search for smallest LCAs in XML databases. In: Proc. of SIGMOD Conference, pp. 537–538 (2005)

    Google Scholar 

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Jayant R. Haritsa Ramamohanarao Kotagiri Vikram Pudi

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© 2008 Springer-Verlag Berlin Heidelberg

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Chen, B., Lu, J., Ling, T.W. (2008). Exploiting ID References for Effective Keyword Search in XML Documents. In: Haritsa, J.R., Kotagiri, R., Pudi, V. (eds) Database Systems for Advanced Applications. DASFAA 2008. Lecture Notes in Computer Science, vol 4947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78568-2_43

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  • DOI: https://doi.org/10.1007/978-3-540-78568-2_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78567-5

  • Online ISBN: 978-3-540-78568-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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