Fuzzy data modeling based on XML schema

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Fuzzy data modeling based on XML schema

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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents

Honolulu, Hawaii

SESSION: Data theory, technology, and applications track table of contents

Pages 1563-1567

Year of Publication: 2009

ISBN:978-1-60558-166-8

Authors

Li Yan	Northeastern University, Shenyang, China
Z. M. Ma	Northeastern University, Shenyang, China
Jian Liu	Northeastern University, Shenyang, China

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

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ABSTRACT

Interest in XML has been growing over the last few years and XML has been the de-facto standard of information representation and exchange over the web. However, the real world is filled with imprecision and uncertainty. Classical databases have been extended to deal with imprecise and uncertain data. In this paper, we investigate how to incorporate fuzzy data into XML. We identify multiple granularity of data fuzziness in XML. Based on possibility distribution theory, we have possibilities associated with elements as well as attribute values of elements in XML. A fuzzy XML data model that addresses all of the fuzziness is developed based on XML Schema.

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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