Querying fuzzy spatiotemporal databases: Implementation issues

Aziz Sözer, Adnan YazIcI, Halit Oǧuztüzün, Frederick E. Petry

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)97-116
Number of pages20
JournalStudies in Computational Intelligence
Volume271
DOIs
Publication statusPublished - 2010

ASJC Scopus subject areas

  • Artificial Intelligence

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