XML Documents Searching Combining Structure and Keywords Similarities

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Description

In recent years, XML has been increasingly become an emerging standard and widely used in many applications. For example, office documents which are more and more popular used at this time, are also stored in multiple parts of XML archive formats. It is known that the structure and content of XML files play different roles depending on kind of documents. Therefore, achievement similarity search of an XML file should base on both structure and content. In previous work, LAX+ is an algorithm for reckoning a similarity value from structure and contents of XML files in the office documents. However, since LAX+ used exactly matching method between corresponding leaves, similar words in the leaf-nodes are considered as different. To solve the problem, we propose to combine LAX+ with keyword similarity in leaf-nodes. We use docx, xlsx and pptx file formats as experimental data set. The evaluation shows that our approach can be used to improve the precision and recall.

Journal

  • IPSJ SIG Notes

    IPSJ SIG Notes 2013 (14), 1-6, 2013-07-15

    Information Processing Society of Japan (IPSJ)

Keywords

Details 詳細情報について

  • CRID
    1571417127858836224
  • NII Article ID
    110009585856
  • NII Book ID
    AN10114171
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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