Title :
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
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;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.47
