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Schema matching for transforming structured documents
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Proceedings of the 2005 ACM symposium on Document engineering table of contents
Bristol, United Kingdom
SESSION: Document structure and content analysis 2 table of contents
Pages: 101 - 110  
Year of Publication: 2005
ISBN:1-59593-240-2
Authors
Aida Boukottaya  University of Lausanne & Swiss Federal Institute of Technology, Lausanne, Switzerland
Christine Vanoirbeek  Swiss Federal Institute of Technology, Lausanne, Switzerland
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 62,   Citation Count: 9
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ABSTRACT

Structured document content reuse is the problem of restructuring and translating data structured under a source schema into an instance of a target schema. A notion closely tied with structured document reuse is that of structure transformations. Schema matching is a critical strep in structured document transformations. Manual matching is expensive and error-prone. It is therefore important to develop techniques to automate the matching process and thus the transformation process. In this paper, we contributed in both understanding the matching problem in the context of structured document transformations and developing matching methods those output serves as the basis for the automatic generation of transformation scripts.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  9

Collaborative Colleagues:
Aida Boukottaya: colleagues
Christine Vanoirbeek: colleagues