Abstract
Conventional Data Base Management Systems (DBMSs) are not generally effective for applications such as geographic data processing where data have spatial characteristics and queries involve on spatial relationships. These DBMSs can however be extended by supplementing them with special processing subsystems and new indexing structures and by augmenting the query interface language. DBMSs supporting an SQL interface are now widely used. The GEOgraphic Query Language (GEOQL) [18] is an extension of SQL proposed for geographic applications and supports both spatial and aspatial operations. In this paper, we propose a global optimization strategy for the hybrid queries so that a general query involving both spatial and aspatial selection can be executed efficiently. We show that the method is feasible.
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