Modeling spatiotemporal data, in particular fuzzy and complex spatial objects
representing geographic entities and relations, is a topic of great importance in
geographic information systems, computer vision, environmental data management
systems, etc. Because of complex requirements, it is challenging to design a
database for spatiotemporal data and its features and to effectively query them. This
thesis presents a new approach for modeling, indexing and querying the
spatiotemporal data of fuzzy spatial and complex objects and/or spatial relations. As
a case study, we model and implement a meteorological application in an intelligent
database architecture, which combines an object-oriented database with a knowledge
base.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12612189/index.pdf |
| Date | 01 July 2010 |
| Creators | Sozer, Aziz |
| Contributors | Yazici, Adnan |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | Ph.D. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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