Modeling and querying fuzzy spatiotemporal databases

Aziz Sözer; Adnan Yazici; Halit Oǧuztüzün; Osman Taş

doi:10.1016/j.ins.2008.05.034

Modeling and querying fuzzy spatiotemporal databases

Aziz Sözer, Adnan Yazici, Halit Oǧuztüzün, Osman Taş

Department of Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

48 Citations (Scopus)

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	https://doi.org/10.1016/j.ins.2008.05.034
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

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AU - Sözer, Aziz

AU - Yazici, Adnan

AU - Oǧuztüzün, Halit

AU - Taş, Osman

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KW - Object-oriented database

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Modeling and querying fuzzy spatiotemporal databases

Abstract

Keywords

ASJC Scopus subject areas

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