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 language | English |
|---|---|
| Article number | 6919333 |
| Pages (from-to) | 1399-1413 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Fuzzy Systems |
| Volume | 23 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Oct 1 2015 |
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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 journal › Article
}
TY - JOUR
T1 - Indexing Fuzzy Spatiotemporal Data for Efficient Querying
T2 - A Meteorological Application
AU - Sozer, Aziz
AU - Yazici, Adnan
AU - Oguztuzun, Halit
PY - 2015/10/1
Y1 - 2015/10/1
N2 - 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.
AB - 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.
KW - Complex spatial object
KW - fuzzy object
KW - knowledge base
KW - meteorological database application
KW - object-oriented databases
KW - spatiotemporal data
KW - spatiotemporal indexing and querying
UR - http://www.scopus.com/inward/record.url?scp=84959451389&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959451389&partnerID=8YFLogxK
U2 - 10.1109/TFUZZ.2014.2362121
DO - 10.1109/TFUZZ.2014.2362121
M3 - Article
AN - SCOPUS:84959451389
VL - 23
SP - 1399
EP - 1413
JO - IEEE Transactions on Fuzzy Systems
JF - IEEE Transactions on Fuzzy Systems
SN - 1063-6706
IS - 5
M1 - 6919333
ER -