Indexing Fuzzy Spatiotemporal Data for Efficient Querying: A Meteorological Application

Aziz Sozer, Adnan Yazici, Halit Oguztuzun

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Spatiotemporal data, in particular fuzzy and complex spatial objects representing geographic entities and relations, is a topic of great importance in geographic information systems and environmental data management systems. For database researchers, modeling and designing a database of fuzzy spatiotemporal data and querying such a database efficiently have been challenging issues due to complex spatial features and uncertainty involved. This paper presents an integrated approach to modeling, indexing, and efficiently querying spatiotemporal data related to fuzzy spatial and complex objects and spatial relations. As our case study, we design and implement a meteorological database application that involves fuzzy spatial and complex objects, and a spatiotemporal index structure, and supports various types of spatial queries including fuzzy spatiotemporal queries. Our implementation is based on an intelligent database system architecture that combines a fuzzy object-oriented database with a fuzzy knowledge base.

Original languageEnglish
Article number6919333
Pages (from-to)1399-1413
Number of pages15
JournalIEEE Transactions on Fuzzy Systems
Volume23
Issue number5
DOIs
Publication statusPublished - Oct 1 2015

Fingerprint

Spatio-temporal Data
Fuzzy Data
Indexing
Fuzzy Query
Fuzzy Databases
Environmental Management
Object-oriented Databases
Spatial Relations
Environmental management
Geographic Information Systems
Intelligent Systems
Database Systems
Data Management
System Architecture
Modeling
Knowledge Base
Information management
Geographic information systems
Query
Uncertainty

Keywords

  • Complex spatial object
  • fuzzy object
  • knowledge base
  • meteorological database application
  • object-oriented databases
  • spatiotemporal data
  • spatiotemporal indexing and querying

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Indexing Fuzzy Spatiotemporal Data for Efficient Querying : A Meteorological Application. / Sozer, Aziz; Yazici, Adnan; Oguztuzun, Halit.

In: IEEE Transactions on Fuzzy Systems, Vol. 23, No. 5, 6919333, 01.10.2015, p. 1399-1413.

Research output: Contribution to journalArticle

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