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Proceedings Paper

A method for matching Chinese place-name data
Author(s): Yilan Liao; Jinfeng Wang
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Paper 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.

Paper Details

Date Published: 11 November 2008
PDF: 9 pages
Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71461R (11 November 2008); doi: 10.1117/12.813155
Show Author Affiliations
Yilan Liao, Institute of Geographical Sciences and Natural Resources Research (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Jinfeng Wang, Institute of Geographical Sciences and Natural Resources Research (China)


Published in SPIE Proceedings Vol. 7146:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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