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Asia Information Retrieval Symposium

AIRS 2006: Information Retrieval Technology pp 187–204Cite as

No Tag, a Little Nesting, and Great XML Keyword Search

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4182))

Abstract

Keyword search from Informational Retrieval (IR) can be seen as one most convenient processing mode catering for common users to obtain interesting information. As XML data becomes more and more widespread, the trend of adapting keyword search on XML data also becomes more and more active. In this paper, we first try nesting mechanism for XML keyword search, which just uses a little nesting skill. This attempt has several benefits. For example, it is convenient for common users, because they need not to know any organization knowledge of the target XML data. Secondly, the nesting pattern can be easily transformed into structural hints, which has same mechanism as what XML data model does. Finally, since there is no need of label information, we can retrieve XML fragments from different schemas. Besides, this paper also proposes a new similarity measuring method for retrieved XML fragments which can be from different schemas. Its kernel is KCAM (Keyword Common Ancestor Matrix) structure, which stores the level information of SLCA (Smallest Lowest Common Ancestor) node between two keywords. By mapping XML fragments into KCAMs, the structural similarity can be computed using matrix distance. KCAM distance can go well with the nesting keyword method.

Supported by Project 2005AA4Z307 under the National High-tech Research and Development of China, Project 60503037 under the National Natural Science Foundation of China (NSFC), Project 4062018 under Beijing Natural Science Foundation(BNSF).

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Peking University, Beijing, 100871, China

    Lingbo Kong, Shiwei Tang, Dongqing Yang, Tengjiao Wang & Jun Gao

  2. National Laboratory on Machine Perception, Peking University, Beijing, 100871, China

    Shiwei Tang

Authors
  1. Lingbo Kong
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  2. Shiwei Tang
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  3. Dongqing Yang
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  4. Tengjiao Wang
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  5. Jun Gao
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Editor information

Editors and Affiliations

  1. Department of Computer Science, National University of Singapore, 3 Science Drive 2, 117543, Singapore

    Hwee Tou Ng

  2. Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613, Singapore

    Mun-Kew Leong

  3. Department of Computer Science, School of Computing, National University of Singapore, 117543, Singapore

    Min-Yen Kan

  4. Institute for Infocomm Research, 21 Heng Mui Keng Terrace, P.O. Box, 119613, Singapore

    Donghong Ji

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© 2006 Springer-Verlag Berlin Heidelberg

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Kong, L., Tang, S., Yang, D., Wang, T., Gao, J. (2006). No Tag, a Little Nesting, and Great XML Keyword Search. In: Ng, H.T., Leong, MK., Kan, MY., Ji, D. (eds) Information Retrieval Technology. AIRS 2006. Lecture Notes in Computer Science, vol 4182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11880592_15

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  • DOI: https://doi.org/10.1007/11880592_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45780-0

  • Online ISBN: 978-3-540-46237-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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