Processing Object-Orientation-based Direction Queries in Spatial Databases

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Processing Object-Orientation-based Direction Queries in Spatial Databases

Published Date

2000-05-04

Publisher

Type

Report

Abstract

Direction based spatial relationships are critical in many domains including geographic information systems(GIS) and image interpretation. They are also frequently used as selection conditions in spatial queries. In this paper, we explore processing of queries based on object-orientation-based directional relationships. A new Open Shape based strategy (OSS) is proposed. OSS converts the processing of the direction predicates to the processing of topological operations between open shapes and closed geometry objects. Since OSS models the direction region as an Open Shape, it does not need to know the boundary of the embedding world, and also eliminating the computation related to the world boundary. We perform algebraic analysis as well as experimental evaluation for OSS. The experimental result demonstrates that the OSS consistently outperforms classical range query strategy both in I/O and CPU cost.

Keywords

Description

Related to

Replaces

License

Series/Report Number

Technical Report; 00-030

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Liu, Xuan; Shekhar, Shashi; Chawla, Sanjay. (2000). Processing Object-Orientation-based Direction Queries in Spatial Databases. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215417.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.