A Weighted Voronoi Diagram-based Retrieval Approach for Point-like Toponym Information

Considering the fact that most of the place names in the gazetteer record the spatial information only in the form of center coordinates,which lacks the description of the specific spatial extent of the place name,one-sidedness and limitations exist in the toponym information retrieval. Based on the...

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Main Authors: ZHANG Yu, WANG Qi, WU Wenzhou, SU Fenzhen
Format: Article
Language:zho
Published: Surveying and Mapping Press 2017-11-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
Online Access:http://html.rhhz.net/CHXB/html/2017-11-1919.htm
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spelling doaj-744285594d47469480b69f02bfbf52332020-11-25T01:46:34ZzhoSurveying and Mapping PressActa Geodaetica et Cartographica Sinica1001-15951001-15952017-11-0146111919192610.11947/j.AGCS.2017.201701252017110125A Weighted Voronoi Diagram-based Retrieval Approach for Point-like Toponym InformationZHANG Yu0WANG Qi1WU Wenzhou2SU Fenzhen3State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, ChinaConsidering the fact that most of the place names in the gazetteer record the spatial information only in the form of center coordinates,which lacks the description of the specific spatial extent of the place name,one-sidedness and limitations exist in the toponym information retrieval. Based on the fully analysis of the place names,spatial attributes and spatial relations,the paper proposes a weighted Voronoi diagram-based retrieval approach for point-like toponym information,which considers the importance of different properties of the place names belonging to the same type in the information retrieval,and takes advantage of the weighted Voronoi diagram in the boundary approximation of the place. The approach constructed weighted Voronoi diagram based on the area properties of the same type place names,and approximated the spatial extent of the place. Then,spatial relation between two places could be described,and the spatial similarity was achieved by the given equations to calculate the similarities of the topological,directional and distance relationship. The approach was verified by approximating boundaries of administrative divisions and retrieving their information. The experiment results show that the approach can be better applied in the approximation of spatial extents and relations of place names,and the spatial similarity matching between query words and geographical information resources can be improved. Finally,the proposed approach is better than the traditional approaches.http://html.rhhz.net/CHXB/html/2017-11-1919.htmweighted Voronoi diagramtoponym information retrievalplace nameboundary approximationspatial relation similarity
collection DOAJ
language zho
format Article
sources DOAJ
author ZHANG Yu
WANG Qi
WU Wenzhou
SU Fenzhen
spellingShingle ZHANG Yu
WANG Qi
WU Wenzhou
SU Fenzhen
A Weighted Voronoi Diagram-based Retrieval Approach for Point-like Toponym Information
Acta Geodaetica et Cartographica Sinica
weighted Voronoi diagram
toponym information retrieval
place name
boundary approximation
spatial relation similarity
author_facet ZHANG Yu
WANG Qi
WU Wenzhou
SU Fenzhen
author_sort ZHANG Yu
title A Weighted Voronoi Diagram-based Retrieval Approach for Point-like Toponym Information
title_short A Weighted Voronoi Diagram-based Retrieval Approach for Point-like Toponym Information
title_full A Weighted Voronoi Diagram-based Retrieval Approach for Point-like Toponym Information
title_fullStr A Weighted Voronoi Diagram-based Retrieval Approach for Point-like Toponym Information
title_full_unstemmed A Weighted Voronoi Diagram-based Retrieval Approach for Point-like Toponym Information
title_sort weighted voronoi diagram-based retrieval approach for point-like toponym information
publisher Surveying and Mapping Press
series Acta Geodaetica et Cartographica Sinica
issn 1001-1595
1001-1595
publishDate 2017-11-01
description Considering the fact that most of the place names in the gazetteer record the spatial information only in the form of center coordinates,which lacks the description of the specific spatial extent of the place name,one-sidedness and limitations exist in the toponym information retrieval. Based on the fully analysis of the place names,spatial attributes and spatial relations,the paper proposes a weighted Voronoi diagram-based retrieval approach for point-like toponym information,which considers the importance of different properties of the place names belonging to the same type in the information retrieval,and takes advantage of the weighted Voronoi diagram in the boundary approximation of the place. The approach constructed weighted Voronoi diagram based on the area properties of the same type place names,and approximated the spatial extent of the place. Then,spatial relation between two places could be described,and the spatial similarity was achieved by the given equations to calculate the similarities of the topological,directional and distance relationship. The approach was verified by approximating boundaries of administrative divisions and retrieving their information. The experiment results show that the approach can be better applied in the approximation of spatial extents and relations of place names,and the spatial similarity matching between query words and geographical information resources can be improved. Finally,the proposed approach is better than the traditional approaches.
topic weighted Voronoi diagram
toponym information retrieval
place name
boundary approximation
spatial relation similarity
url http://html.rhhz.net/CHXB/html/2017-11-1919.htm
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