Overview
- 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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About this book
This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with XML. The topics covered include representation of fuzzy spatiotemporal XML data, topological relationship determination for fuzzy spatiotemporal XML data, mapping between the fuzzy spatiotemporal relational database model and fuzzy spatiotemporal XML data model, and consistencies in fuzzy spatiotemporal XML data updating. Offering a comprehensive guide to the latest research on fuzzy spatiotemporal XML data management, the book is intended to provide state-of-the-art information for researchers, practitioners, and graduate students of Web intelligence, as well as data and knowledge engineering professionals confronted with non-traditional applications that make the use of conventional approaches difficult or impossible.
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Keywords
Table of contents (8 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
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