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Determining Topological Relations of Fuzzy Spatiotemporal Regions Over Time in XML
Author(s) -
Luyi Bai,
Lin Zhu,
Yuan Zhao
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.2018.2878521
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
Determining topological relations is one of the most important operations on fuzzy spatiotemporal data, which has an important significance in reasoning. In order to determine topological relations, a considerable amount of approaches have been proposed. Those efforts are quite efficient for determining discrete topological relations. But for continuous determining topological relations, the previous approaches often suffer from insufficient extensions and high cost, which significantly decrease the performance. To overcome this limitation, in this paper, we model topological relations between fuzzy spatiotemporal regions over time in XML and propose an algorithm to identify topological relations. Our approach adopts a combination of superscript and subscript so that continuous topological relations can be represented as unique. More importantly, determining topological relations in XML can reduce execution time rather than a traditional database, since XML has structural advantages and can avoid complex extensions. Finally, we run experiments to validate our approach and show its significant superiority.

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