Authors:
- Highlights the latest advances in fuzzy spatiotemporal XML data management
- Focuses on technologies and approaches to Web-based spatiotemporal data management with uncertainty
- Covers fuzzy spatiotemporal data models, consistencies, queries, construction and storage, and semantic modeling
- Offers an essential guide for researchers, practitioners, and graduate students alike
Part of the book series: Studies in Computational Intelligence (SCI, volume 894)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Zongmin Ma, Li Yan
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College of Information Science and Engineering, Northeastern University (Qinhuangdao), Qinhuangdao, China
Luyi Bai
Bibliographic Information
Book Title: Modeling Fuzzy Spatiotemporal Data with XML
Authors: Zongmin Ma, Luyi Bai, Li Yan
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-41999-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-41998-1Published: 05 March 2020
Softcover ISBN: 978-3-030-42001-7Published: 05 March 2021
eBook ISBN: 978-3-030-41999-8Published: 04 March 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 198
Number of Illustrations: 82 b/w illustrations, 24 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Geographical Information Systems/Cartography