Querying Fuzzy Spatiotemporal Databases: Implementation Issues


Soezer A., YAZICI A., Oguztuezuen H., Petry F. E.

UNCERTAINTY APPROACHES FOR SPATIAL DATA MODELING AND PROCESSING: A DECISION SUPPORT PERSPECTIVE, vol.271, pp.97-116, 2010 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 271
  • Publication Date: 2010
  • Doi Number: 10.1007/978-3-642-10663-7_7
  • Journal Name: UNCERTAINTY APPROACHES FOR SPATIAL DATA MODELING AND PROCESSING: A DECISION SUPPORT PERSPECTIVE
  • Journal Indexes: Science Citation Index Expanded, Scopus, zbMATH
  • Page Numbers: pp.97-116

Abstract

Modeling and querying spatiotemporal data, in particular fuzzy and complex spatial objects representing geographic entities and relations are challenging topics that have many applications in geographic information systems. In a recent article the authors have presented an approach to these problems. The present chapter focuses on the issues that arise from implementing this approach. As a case study the implementation of a meteorological database application that combines an object-oriented database with a knowledgebase is discussed.