Modeling and querying fuzzy spatiotemporal databases

  • Authors:

  • Aziz Sözer;Adnan Yazıcı;Halit Oğuztüzün;Osman Taş

  • Affiliations:

  • Department of Computer Engineering, Middle East Technical University, 06531 Ankara, Turkey;Department of Computer Engineering, Middle East Technical University, 06531 Ankara, Turkey;Department of Computer Engineering, Middle East Technical University, 06531 Ankara, Turkey;Department of Computer Engineering, Middle East Technical University, 06531 Ankara, Turkey

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2008

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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.