Article ID Journal Published Year Pages File Type
391632 Information Sciences 2014 16 Pages PDF
Abstract

In real-world Web applications, information is often vague or ambiguous. Fuzzy XML databases have been proposed to manage data exchanges among different imprecise and uncertain XML documents. However, data collected from different data sources referring to the same real-world object may conflict. It is the task of the data management system to resolve the conflicts and integrate the data without any interference from a user. In order to integrate data from multiple autonomous fuzzy XML databases, an integration of fuzzy XML data has to be performed. In this paper, we take a first step in a fundamental consolidation of the fuzzy XML data model. In particular, we investigate the integration technique, which is designed to integrate fuzzy XML data collected from different data sources. We develop a basic framework for detecting conflicts and overlaps in fuzzy XML documents. In addition, we propose an approach for reconciling the fuzzy XML data collected from different data sources.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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