Quickly locating POIs in large datasets from descriptions based on improved address matching and compact qualitative representations

Author:

Cheng Ruozhen1,Liao Jiaxin2,Chen Jing1ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing Wuhan University Wuhan China

2. School of Resource and Environmental Sciences Wuhan University Wuhan China

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Topo‐MSJ: Search for groups of POIs with qualitative processing of spatial regions;Transactions in GIS;2024-08-08

2. A machine learning based approach for generating point sketch maps from qualitative directional information;International Journal of Geographical Information Science;2024-05-24

3. A deep neural network model for Chinese toponym matching with geographic pre-training model;International Journal of Digital Earth;2024-05-13

4. Development of an Algorithm to Evaluate the Quality of Geolocated Addresses in Urban Areas;ISPRS International Journal of Geo-Information;2023-10-04

5. Enhancing BERT-Based Chinese Address Recognition Model with Tag Revision Module;2023 8th International Conference on Information Systems Engineering (ICISE);2023-06-23

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