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期刊名称: Applied Intelligence
Volume:43    Issue:4        Page:707-721
ISSN:0924-669X

Incorporating fuzziness in spatiotemporal XML and transforming fuzzy spatiotemporal data from XML to relational databases期刊论文

作者: Bai Luyi Yan Li Ma Z M Xu Changming
DOI:10.1007/s10489-015-0677-7

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页码: 707-721
被引频次: 3
出版者: Springer US,SPRINGER,Springer,Springer Nature B.V
期刊名称: Applied Intelligence
ISSN: 0924-669X
卷期: Volume:43    Issue:4
语言: English
摘要: Since XML could benefit greatly from database support and more specifically from relational database systems, we study the methodology of modeling fuzzy spatiotemporal data in XML and transforming fuzzy spatiotemporal data from XML to relational databases as well. To accomplish this, we devise a fuzzy spatiotemporal data model in XML to capture the semantics of fuzzy spatiotemporal features. To allow for better and platform independent sharing of fuzzy spatiotemporal data stored in a relational format, we propose a temporal edge approach to transform fuzzy spatiotemporal XML data into relational databases. The unique feature of our approach is that no schema information is required for transformation of fuzzy spatiotemporal data. Moreover, temporal, spatial, and fuzzy features of fuzzy spatiotemporal data in XML documents are taken into consideration. Finally, the experimental results demonstrate the performance advantages of our approach. Such approach of transformation could provide a significant consolidation of the interoperability of fuzzy spatiotemporal data from XML to relational databases.
相关主题: Transformation, Spatiotemporal data, XML, Computer Science, Relational databases, Artificial Intelligence (incl. Robotics), Manufacturing, Machines, Tools, Mechanical Engineering, Fuzzy information, SCHEMA, MODEL, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, XML (Document markup language), Analysis,

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