Abstract
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 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.
| Original language | English |
|---|---|
| Pages (from-to) | 3665-3682 |
| Number of pages | 18 |
| Journal | Information Sciences |
| Volume | 178 |
| Issue number | 19 |
| DOIs | |
| Publication status | Published - Oct 1 2008 |
Keywords
- Fuzzy logic
- Knowledgebase
- Meteorological database application
- Object-oriented database
- Spatiotemporal data
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Information Systems
- Information Systems and Management
- Statistics, Probability and Uncertainty
- Electrical and Electronic Engineering
- Statistics and Probability