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Spelling Suggestion for XML Keyword Search Based on Pairwise Keyword Summaries

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Web Information Systems Engineering - WISE 2012 (WISE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7651))

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Abstract

We study the spelling suggestion problem for keyword search over an XML document, which provides users with alternative queries that may better express users’ search intention. In order to return the query candidates more efficiently, we calculate the correlations between pairwise keywords, which consider the distribution of keywords and the structures of the XML document. We use the keyword correlations as the summaries of the XML document, which are built off-line. We propose an approach to generating the query candidates, and rank them based on the summaries. Experiments with real datasets verifies the effectiveness and efficiency of our approach.

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Author information

Authors and Affiliations

  1. School of Information and Communication Technology, Griffith University, Gold Coast Campus, Australia

    Sheng Li & Junhu Wang

Authors
  1. Sheng Li
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  2. Junhu Wang
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Editor information

Editors and Affiliations

  1. School of Computer Science, Fudan University, 825 Zhangheng Rd., Shanghai, 201203, China

    X. Sean Wang

  2. Department of Computer Science, College of Engineering, Science and Engineering Offices, The University of Illinois at Chicago, 851 South Morgan Street (M/C 152), 60607-7053, Chicago, Illinois, USA

    Isabel Cruz

  3. Department of Informatics and Telecommunications, University of Athens, GR15784, Ilisia, Athens, Greece

    Alex Delis

  4. Centre for Applied Informatics, Victoria University, PO Box 14428, 8001, Melbourne, VIC, Australia

    Guangyan Huang

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, S., Wang, J. (2012). Spelling Suggestion for XML Keyword Search Based on Pairwise Keyword Summaries. In: Wang, X.S., Cruz, I., Delis, A., Huang, G. (eds) Web Information Systems Engineering - WISE 2012. WISE 2012. Lecture Notes in Computer Science, vol 7651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35063-4_9

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  • DOI: https://doi.org/10.1007/978-3-642-35063-4_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35062-7

  • Online ISBN: 978-3-642-35063-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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