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Modeling and querying fuzzy spatiotemporal databases
Date
2008-10
Author
Sözer, Aziz
Yazıcı, Adnan
Oğuztüzün, Mehmet Halit S.
Taş, Osman
Metadata
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Modeling spatiotemporal data, in particular fuzzy and complex spatial objects representing geographic entities and relations, is a topic of great importance ill geographic information systems, computer vision, environmental data management systems, etc. Because of complex requirements, it is challenging to represent spatiotemporal data and its features in databases and to effectively query them. This article presents a new approach to model and query the spatiotemporal data of fuzzy spatial and complex objects and/or spatial relations. In our case study, we use a meteorological database application in an intelligent database architecture, which combines an object-oriented database with a knowledgebase for modeling and querying spatiotemporal objects.
Subject Keywords
Object-oriented database
,
Spatiotemporal data
,
Fuzzy logic
,
Knowledgebase
,
Meteorological database application
URI
https://hdl.handle.net/11511/28251
Journal
Information Sciences
DOI
https://doi.org/10.1016/j.ins.2008.05.034
Collections
Department of Computer Engineering, Article
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BibTeX
A. Sözer, A. Yazıcı, M. H. S. Oğuztüzün, and O. Taş, “Modeling and querying fuzzy spatiotemporal databases,”
Information Sciences
, pp. 3665–3682, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/28251.