Transforming Fuzzy Spatiotemporal Data From Relational Databases to XML | Zendy

Nan Li | Zendy; Luyi Bai | Zendy

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Transforming Fuzzy Spatiotemporal Data From Relational Databases to XML

Author(s) -

Nan Li,

Luyi Bai

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2790427

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

On account of the poor shareability of fuzzy spatiotemporal data in Web while XML could contribute to information performance and information interaction flexibly, we study the methodology of modeling the fuzzy spatiotemporal data based on relational database and transforming fuzzy spatiotemporal data from relational database to XML. In this paper, we propose a kind of fuzzy spatiotemporal relational model and devise a temporal edge approach to transform fuzzy spatiotemporal relational data into XML documents, which is devoted to capturing the semantics of fuzzy spatiotemporal features, such as temporal feature, spatial feature, and fuzzy feature. The unique of this approach is that no schema information is required for transformation of fuzzy spatiotemporal data. Finally, the study would solve the challenge of both information share and information transfer between relational database and XML of fuzzy spatiotemporal data. Such approach of transformation would make a contribution to the interoperability of fuzzy spatiotemporal data between relational database and XML.

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