Modeling and querying fuzzy spatiotemporal databases

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

INFORMATION SCIENCES, cilt.178, sa.19, ss.3665-3682, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 178 Sayı: 19
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.ins.2008.05.034
  • Dergi Adı: INFORMATION SCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3665-3682
  • Anahtar Kelimeler: object-oriented database, spatiotemporal data, fuzzy logic, knowledgebase, meteorological database application, TOPOLOGICAL RELATIONS, OBJECTS, REGIONS, ISSUES
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.