融合两大数据源，构建高精度全球商业地点图谱。
World-POI: Global Point-of-Interest Data Enriched from Foursquare and OpenStreetMap as Tabular and Graph Data
- 用名称与空间距离匹配Foursquare和OSM POI，筛选真实商家。
- 整合后数据达1TB，提供可调阈值的精简版以降低使用门槛。
- 生成带属性的点位图结构，适合地理分析与城市研究。
近期Foursquare发布包含超1亿个兴趣点（POI）的全球数据集，每条代表一个平台上的真实商业实体。但许多条目缺少完整元数据（如地址或分类），部分对应不存在或虚构位置。相比之下，开放街图（OSM）虽提供详尽且频繁更新的用户贡献式POI数据，但未正式验证其是否为真实商业。本文提出一种方法，将Foursquare作为商业POI的全面基准，结合OSM丰富的元数据进行增强。整合后数据总量约1TB，虽不公开完整版本，但提供可调节阈值的过滤版本，显著降低存储需求，便于跨领域下载与使用。通过计算名称相似度与空间距离实现记录关联，保留高置信度匹配项——即在Foursquare中对应真实商业、在OSM中有记录且名称高度一致的条目。最终利用该过滤数据集构建了融合双源属性的图结构表示，支持高级空间分析与多种下游应用。
原文摘要 · Abstract (English)
Recently, Foursquare released a global dataset with more than 100 million points of interest (POIs), each representing a real-world business on its platform. However, many entries lack complete metadata such as addresses or categories, and some correspond to non-existent or fictional locations. In contrast, OpenStreetMap (OSM) offers a rich, user-contributed POI dataset with detailed and frequently updated metadata, though it does not formally verify whether a POI represents an actual business. In this data paper, we present a methodology that integrates the strengths of both datasets: Foursquare as a comprehensive baseline of commercial POIs and OSM as a source of enriched metadata. The combined dataset totals approximately 1 TB. While this full version is not publicly released, we provide filtered releases with adjustable thresholds that reduce storage needs and make the data practical to download and use across domains. We also provide step-by-step instructions to reproduce the full 631 GB build. Record linkage is achieved by computing name similarity scores and spatial distances between Foursquare and OSM POIs. These measures identify and retain high-confidence matches that correspond to real businesses in Foursquare, have representations in OSM, and show strong name similarity. Finally, we use this filtered dataset to construct a graph-based representation of POIs enriched with attributes from both sources, enabling advanced spatial analyses and a range of downstream applications.
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