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Proceedings Paper

Research on land information web query service for public
Author(s): Dongdong Liang; Lin Li; Pingchao Song; Yang Cheng; Song Mei; Yuan Min
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Paper Abstract

With economics developing fast and internet spreading extensively, the public strongly desire to know about land information. Especially, the policy, Land registration information available to the public inquiry approach, has been executed since March 1st, 2003, which gives the Land Department with guidance to build land information web query service for public. Land information web query service for public requires Land Management Department to provide land registration information which contains attribute and graphics information. When it comes to querying attribute information, precise and fuzzy query methods are commonly used in realistic applications. To improve the speed and accuracy of fuzzy query, Chinese word segmentation method is currently used. Especially, there is no previous example by this method used in cadastre information inquiry. Meanwhile, as for querying lands' spatial information, it is necessary to query attribute information before retrieving the actual graphics information. Then turning to the map service, eagle eye can show which part of whole cadastre map the specified cadastre land located in. But it is obvious the display speed of eagle eye is not as fast as that of cadastre map. Hence, we try to implement the multi-level query with frame selection on cadastre map and identify the different cadastre land with different colors, as eagle eye's display and panning speed are also accelerated. The accomplishments of our research have been applied to Land information query system of Ningbo. It is hoped that the solutions in this system will help to develop and study analogous issues.

Paper Details

Date Published: 16 October 2009
PDF: 9 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749247 (16 October 2009); doi: 10.1117/12.837702
Show Author Affiliations
Dongdong Liang, Wuhan Univ. (China)
Anhui Normal Univ. (China)
Lin Li, Wuhan Univ. (China)
Pingchao Song, Wuhan Univ. (China)
Yang Cheng, Wuhan Univ. (China)
Song Mei, Wuhan Univ. (China)
Yuan Min, Geomatics Ctr. of Henan Province (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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