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Indexing Fuzzy Spatiotemporal Data for Efficient Querying: A Meteorological Application
Date
2015-10-01
Author
Sozer, Aziz
Yazıcı, Adnan
Oğuztüzün, Mehmet Halit S.
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Spatiotemporal data, in particular fuzzy and complex spatial objects representing geographic entities and relations, is a topic of great importance in geographic information systems and environmental data management systems. For database researchers, modeling and designing a database of fuzzy spatiotemporal data and querying such a database efficiently have been challenging issues due to complex spatial features and uncertainty involved. This paper presents an integrated approach to modeling, indexing, and efficiently querying spatiotemporal data related to fuzzy spatial and complex objects and spatial relations. As our case study, we design and implement a meteorological database application that involves fuzzy spatial and complex objects, and a spatiotemporal index structure, and supports various types of spatial queries including fuzzy spatiotemporal queries. Our implementation is based on an intelligent database system architecture that combines a fuzzy object-oriented database with a fuzzy knowledge base.
Subject Keywords
Complex spatial object
,
Fuzzy object
,
Knowledge base
,
Meteorological database application
,
Object-oriented databases
,
Spatiotemporal data
,
Spatiotemporal indexing and querying
URI
https://hdl.handle.net/11511/48819
Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
DOI
https://doi.org/10.1109/tfuzz.2014.2362121
Collections
Department of Computer Engineering, Article
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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 obje...
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A. Sozer, A. Yazıcı, and M. H. S. Oğuztüzün, “Indexing Fuzzy Spatiotemporal Data for Efficient Querying: A Meteorological Application,”
IEEE TRANSACTIONS ON FUZZY SYSTEMS
, pp. 1399–1413, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48819.