Abstract
The Extensible Markup Language (XML) is emerging as the dominant data format for data exchange between applications. Many translation techniques have been devised to publish large amounts of existing conventional relational data in XML format. There also exists a need to be able to represent imprecise data in both relational databases and XML. This paper describes a fuzzy XML schema model for representing a fuzzy relational database in XML format. It also outlines a translation algorithm to include fuzzy relations and similarity matrices with their associated conventional relations. We also describe how the proposed fuzzy XML schema and the conversion process from fuzzy relational data into fuzzy XML have been integrated into VIREX, which is a prototype with powerful visual tool for transforming relational data into XML.
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Kianmehr, K. et al. (2010). Human Centric Data Representation: From Fuzzy Relational Databases into Fuzzy XML. In: Ma, Z., Yan, L. (eds) Soft Computing in XML Data Management. Studies in Fuzziness and Soft Computing, vol 255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14010-5_3
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DOI: https://doi.org/10.1007/978-3-642-14010-5_3
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