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Fuzzy data modeling based on XML schema

Published: 08 March 2009 Publication History

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.

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cover image ACM Conferences
SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing
March 2009
2347 pages
ISBN:9781605581668
DOI:10.1145/1529282
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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Published: 08 March 2009

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  1. XML
  2. fuzzy data modeling
  3. schema

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SAC09
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SAC09: The 2009 ACM Symposium on Applied Computing
March 8, 2009 - March 12, 2008
Hawaii, Honolulu

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