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Measuring similarity of semi-structured documents with context weights

Published: 06 August 2006 Publication History

Abstract

In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimental results based on a benchmark showed superior performance of the proposed measure over the baseline which ignores structural knowledge of XML documents.

References

[1]
D. Carmel, Y.S. Maarek, M. Mandelbrod, Y. Mass and A. Soffer. "Searching XML Documents via XML Fragments", In Proceedings of SIGIR' 2003, Toronto, Canada, 2003
[2]
V. Kakade and P. Raghavan. "Encoding XML in Vector Spaces", In Proceedings of ECIR'2005, Santiago, Spain
[3]
Initiative for the evaluation of XML retrieval http://qmir.dcs.qmul.ac.hk/INEX/
[4]
S. Liu, Q. Zhu and W.W. Chu. "Configurable Indexing and Ranking for XML Information Retrieval", In Proceedings of SIGIR' 2003, Toronto, Canada

Cited By

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  • (2010)Element Retrieval Using Namespace Based on Keyword Search over XML DocumentsJournal of Software Engineering and Applications10.4236/jsea.2010.3100803:01(65-72)Online publication date: 2010
  • (2009)An approach for measuring similarity between XML documentsProceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 710.5555/1802134.1802225(410-414)Online publication date: 14-Aug-2009
  • (2009)An approach to XML Path retrieval2009 IEEE International Conference on Granular Computing10.1109/GRC.2009.5255069(513-516)Online publication date: Aug-2009
  • Show More Cited By

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    cover image ACM Conferences
    SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
    August 2006
    768 pages
    ISBN:1595933697
    DOI:10.1145/1148170
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 August 2006

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    Author Tags

    1. XML search and retrieval
    2. models

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    SIGIR06
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    SIGIR06: The 29th Annual International SIGIR Conference
    August 6 - 11, 2006
    Washington, Seattle, USA

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    Cited By

    View all
    • (2010)Element Retrieval Using Namespace Based on Keyword Search over XML DocumentsJournal of Software Engineering and Applications10.4236/jsea.2010.3100803:01(65-72)Online publication date: 2010
    • (2009)An approach for measuring similarity between XML documentsProceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 710.5555/1802134.1802225(410-414)Online publication date: 14-Aug-2009
    • (2009)An approach to XML Path retrieval2009 IEEE International Conference on Granular Computing10.1109/GRC.2009.5255069(513-516)Online publication date: Aug-2009
    • (2009)Semantic Structural Similarity Measure for Clustering XML DocumentsProceedings of the International Conference on Web Information Systems and Mining10.1007/978-3-642-05250-7_25(232-241)Online publication date: 22-Nov-2009
    • (2007)A novel document similarity measure based on earth mover's distanceInformation Sciences: an International Journal10.1016/j.ins.2007.02.045177:18(3718-3730)Online publication date: 1-Sep-2007

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