Modeling and querying fuzzy spatiotemporal databases

Aziz Sözer, Adnan Yazici, Halit Oǧuztüzün, Osman Taş

Research output: Contribution to journalArticle

45 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 languageEnglish
Pages (from-to)3665-3682
Number of pages18
JournalInformation Sciences
Volume178
Issue number19
DOIs
Publication statusPublished - 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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