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Generating XSLT scripts for the fast transformation of XML documents

Published:10 May 2005Publication History

ABSTRACT

This paper proposes a method of generating XSLT scripts, which support the fast transformation of XML documents, given one-to-one matching relationships between leaf nodes of XML schemas. The proposed method enhances the transformation speed of generated XSLT scripts through reducing template calls. Experimental results show that the proposed method has generated XSLT scripts that support the faster transformation of XML documents, compared with previous works.

References

  1. Jun-Seung Lee and Kyong-Ho Lee, "XML Schema Matching Based on Incremental Ontology Update," Lecture Notes in Computer Scien-ce, Vol. 3306, pp. 608--618, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  2. Tadeusz Pankowski, "A high-level Language for Specifying XML Data Transformations," Conf. Advances in Databases and information Systems, pp. 22--25, 2004.Google ScholarGoogle Scholar
  3. Eila Kuikka, Paula Leinonen, and Martti Penttonen, "Towards Automating of Document Structure Transformations," Proc. ACM Symposium Document Engineering, pp. 103--110. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Xuerong Tang and Frank Wm. Tompa, "Specifying Transformations for Structured Documents," Proc. Int'l Workshop the Web and Databases, pp. 67--72, 2001.Google ScholarGoogle Scholar
  5. Hong Su, Harumi Kuno, and Elke A Rundensteiner, "Automating The Translation of XML Documents, "Proc. Int'l Workshop Web Information and Data Management, pp. 68--75, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Generating XSLT scripts for the fast transformation of XML documents

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    • Published in

      cover image ACM Conferences
      WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web
      May 2005
      454 pages
      ISBN:1595930515
      DOI:10.1145/1062745

      Copyright © 2005 ACM

      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: 10 May 2005

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