Toward building next-generation Geocoding systems: a systematic review
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arXiv
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866914219406917632 |
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| author | Yin, Zhengcong Goldberg, Daniel W. Lin, Binbin Zhou, Bing Li, Diya Ma, Andong Ming, Ziqian Cai, Heng Zhang, Zhe Wang, Shaohua Gao, Shanzhen Lee, Joey Ying Li, Xiao Huo, Da |
| author_facet | Yin, Zhengcong Goldberg, Daniel W. Lin, Binbin Zhou, Bing Li, Diya Ma, Andong Ming, Ziqian Cai, Heng Zhang, Zhe Wang, Shaohua Gao, Shanzhen Lee, Joey Ying Li, Xiao Huo, Da |
| contents | Geocoding systems are widely used in both scientific research for spatial analysis and everyday life through location-based services. The quality of geocoded data significantly impacts subsequent processes and applications, underscoring the need for next-generation systems. In response to this demand, this review first characterizes the technical requirements for next-generation geocoding inputs and outputs. We then decompose the geocoding workflow into modular functional units and survey existing implementations. For each component, we identify methodological limitations, articulate domain-specific research questions and hypotheses, and outline evaluation strategies needed. Finally, we identify opportunities to improve next-generation geocoding systems in light of recent technological advances. We envision that this review provides a technical foundation and research agenda for advancing the design, assessment, and deployment of next-generation geocoding systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_18888 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Toward building next-generation Geocoding systems: a systematic review Yin, Zhengcong Goldberg, Daniel W. Lin, Binbin Zhou, Bing Li, Diya Ma, Andong Ming, Ziqian Cai, Heng Zhang, Zhe Wang, Shaohua Gao, Shanzhen Lee, Joey Ying Li, Xiao Huo, Da Software Engineering Computation and Language Information Retrieval Geocoding systems are widely used in both scientific research for spatial analysis and everyday life through location-based services. The quality of geocoded data significantly impacts subsequent processes and applications, underscoring the need for next-generation systems. In response to this demand, this review first characterizes the technical requirements for next-generation geocoding inputs and outputs. We then decompose the geocoding workflow into modular functional units and survey existing implementations. For each component, we identify methodological limitations, articulate domain-specific research questions and hypotheses, and outline evaluation strategies needed. Finally, we identify opportunities to improve next-generation geocoding systems in light of recent technological advances. We envision that this review provides a technical foundation and research agenda for advancing the design, assessment, and deployment of next-generation geocoding systems. |
| title | Toward building next-generation Geocoding systems: a systematic review |
| topic | Software Engineering Computation and Language Information Retrieval |
| url | https://arxiv.org/abs/2503.18888 |