拓扑语义约束检查

2008 IEEE International Symposium on Parallel and Distributed Processing with Applications Pub Date : 2008-12-10 DOI:10.1109/ISPA.2008.98

L. Xiang, K. Udagepola, Chaoguang Men, Stephen Lovatt

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引用次数: 0

摘要

在任何主动地理信息系统中，任何查询、分析或推理结果的可靠性取决于数据质量(具有位置准确性、一致性等特性的最新数据)。利用空间数据访问的SSRO-Tree结构，构建了基于拓扑语义一致性的违规检测系统，并采用特定的检查和纠正过程。实验结果表明，与传统的约束违例检测系统相比，所开发的约束违例检测系统功能强大。识别出三种误差导致三种一致性，即结构一致性、几何一致性和拓扑语义一致性。

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Topo-Semantic Constraints Checking

In any Active Geographical Information System the reliability of any results of queries, analysis or reasoning depends on data quality (up-to-date data with properties of positional accuracy, consistency and so on). A system is built for violation detection under Topo-Semantic consistency with specific checking and correcting processes using a SSRO-Tree structure for spatial data access. Results indicate that the developed Constraint Violation Detection (CVD) system is powerful when compared with popular conventional systems. Three kinds of errors are identified which lead to three kinds of consistency, namely structural consistency, geometric consistency and Topo-Semantic consistency.

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2008 IEEE International Symposium on Parallel and Distributed Processing with Applications

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