Paper
11 November 2008 A method for matching Chinese place-name data
Yilan Liao, Jinfeng Wang
Author Affiliations +
Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71461R (2008) https://doi.org/10.1117/12.813155
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Conversion and sharing of spatial data from different departments is an essential part of information construction in China. The first step of the solution is to match place-name data. However, there are administrative changes in some places with the development of urbanization process. It undoubtedly increases the difficulty to match place-name data. In the daily work, the data are artificially matched with available place-name database and materials such as graphs and record cards. Although it is easy to put in practice, this method may cost a lot of time and labor to keep the accuracy. The algorithms for matching strings can be used to solve the problem. But most of them focus on solving the English strings match problems and less refer to Chinese. In the paper, BPM-BM (Bit-Parallel Matrix -Boyer Moore) algorithm, the most efficient filter method for approximate string matching of Chinese text, is proposed to match place-names between the national surveillance sites of infectious diseases and the 1:1, 000, 000 scale township map of China in 2000. The study indicated that the proposed method decreased artificial process greatly and the accuracy which achieved 94.2% was higher than the SQL commands method.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yilan Liao and Jinfeng Wang "A method for matching Chinese place-name data", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71461R (11 November 2008); https://doi.org/10.1117/12.813155
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Cited by 1 scholarly publication.
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KEYWORDS
Surveillance

Databases

Beam propagation method

Data conversion

Earth observing sensors

Geographic information systems

Satellite imaging

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