Modeling and querying fuzzy spatiotemporal databases

Soezer A., YAZICI A., Oguztuezuen H., Tas O.

INFORMATION SCIENCES, vol.178, no.19, pp.3665-3682, 2008 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 178 Issue: 19
  • Publication Date: 2008
  • Doi Number: 10.1016/j.ins.2008.05.034
  • Journal Name: INFORMATION SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.3665-3682
  • Keywords: object-oriented database, spatiotemporal data, fuzzy logic, knowledgebase, meteorological database application, TOPOLOGICAL RELATIONS, OBJECTS, REGIONS, ISSUES
  • Middle East Technical University Affiliated: Yes

Abstract

Modeling spatiotemporal data, in particular fuzzy and complex spatial objects representing geographic entities and relations, is a topic of great importance ill 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. (c) 2008 Elsevier Inc. All rights reserved.