A Study of Spatial Query Optimization Based on Semantics in Data Integration

Author

Zhong, Fengyuan ; Zhang, Tingshan ; Wang, Chengwu

Author_Institution

State Key Lab. of Oil & Gas Reservoir Geol. & Exploitation, Southwest Pet. Univ., Chengdu, China

fYear

2012

fDate

17-19 Aug. 2012

Firstpage

365

Lastpage

368

Abstract

Data integration of geospatial data in distributed and heterogeneous environment involves the use of semantic ontologies. In this kind of integration system, semantic technologies play an important role in improving performance and effectiveness of spatial queries. This paper focuses on methods of query optimization based on spatial semantics at the top level of semantic layer in central data integration systems. After analyzing the hybrid approach for spatial data integration, two categories of query optimization strategies are proposed based on detailed examination of special characteristics of spatial data. With spatial knowledge explicitly specified in ontologies and associated rules, spatial queries can be optimized intelligently.

Keywords

geographic information systems; ontologies (artificial intelligence); query processing; visual databases; associated rules; central data integration systems; distributed environment; explicit spatial knowledge; geospatial data; heterogeneous environment; hybrid approach analysis; performance improvement; spatial data integration; spatial query optimization; spatial semantic ontologies; top-level semantic layer; data integration; query optimization; spatial characteristics; spatial query; spatial semantics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on

Conference_Location

Chongqing

Print_ISBN

978-1-4673-2406-9

Type

conf

DOI

10.1109/ICCIS.2012.47

Filename

6300512