Modeling and querying fuzzy spatiotemporal databases

Date

2008-10

Author

Sözer, Aziz
Yazıcı, Adnan
Oğuztüzün, Mehmet Halit S.
Taş, Osman

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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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Citation Formats

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.