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Measuring similarity of semi-structured documents with context weights

Published:06 August 2006Publication 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 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. V. Kakade and P. Raghavan. "Encoding XML in Vector Spaces", In Proceedings of ECIR'2005, Santiago, Spain Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Initiative for the evaluation of XML retrieval http://qmir.dcs.qmul.ac.hk/INEX/Google ScholarGoogle Scholar
  4. S. Liu, Q. Zhu and W.W. Chu. "Configurable Indexing and Ranking for XML Information Retrieval", In Proceedings of SIGIR' 2003, Toronto, Canada Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Measuring similarity of semi-structured documents with context weights

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    • Published in

      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

      Copyright © 2006 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 August 2006

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      Overall Acceptance Rate792of3,983submissions,20%

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