Title

Spatial query processing in relational databases for geographic information systems

Author

Caslon Chua

Date of Publication

1999

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Computer Science

Subject Categories

Databases and Information Systems

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Arnulfo P. Azcarraga

Defense Panel Chair

Severino V. Gervacio

Defense Panel Member

Eufemio Barcelon
Florante R. Salvador
Arnulfo P. Azcarraga
Raymund C. Sison

Abstract/Summary

This thesis presents a framework for implementing spatial query processing functions within a relational database system without modifications on the database kernel. The objective of this development is to provide simple and low-cost spatial processing capabilities to workgroup servers. This solution integrates neatly with popular desktop GIS/mapping applications, thus introducing spatial data into IT database applications without expensive upgrade or replacement of the current system. The framework is based on a multiple-step spatial query processing strategy wherein operations are executed in successive filtering and refinement steps. The costs of spatial query operations are reduced with the introduction of simpler and more efficient filtering steps. The main goal of the filtering steps is to reduce the number of objects possibly satisfying a given query. An exact test is then performed on the reduced set of objects at the final stage of the query process to produce the final response to the query. The exact test, which is not performed on all objects because of the filter steps, is usually computationally expensive, since it involves the exact geometry of complex objects.

Abstract Format

html

Language

English

Format

Print

Accession Number

TG02921

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

154 leaves, 28 cm. ; Typescript

Keywords

Spatial systems; QUERY (Information retrieval system); Geographic information systems; Information retrieval--Geography; Databases

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