GeoVectors-Europe-West-location (v1.0)

<strong>Description</strong> The GeoVectors corpus is a comprehensive large-scale linked open corpus of OpenStreetMap (https://www.openstreetmap.org/) entity embeddings that provides latent representations of over 980 million entities. The GeoVectors capture the semantic and geographic dimensions of OpenStreetMap entities and make them directly accessible to machine learning applications. The "-tags" datasets provide embeddings that capture the semantic dimension of OpenStreetMap entities. The "-location" datasets provide the geographic dimension. <strong>Contents</strong> This dataset was derived from an OpenStreetMap snapshot that was taken on November 10, 2020 (© OpenStreetMap contributors). We provide the GeoVectors in region-specific subsets. This subset contains location-embeddings for the region "Europe-west" including the following countries: Andorra Austria Azores Belgium Denmark Faroe-Islands Guernsey-Jersey Ireland-and-Northern-Ireland Isle-Of-Man Liechtenstein Luxembourg Malta Monaco Netherlands Norway Portugal Spain Switzerland <strong>File format</strong> The embeddings are provided in the tab-separated values (tsv) format. Each row contains the embedding of a single OpenStreetMap entity. The first column contains the OpenStreetMap type and the second column contains the OpenStreetMap id of the respective entity. The type can either be node (n), way (w), or relation (r). The remaining columns represent the dimensions of the embedding space. (See also header.tsv) <strong>Further information:</strong> For further information, please visit http://geovectors.l3s.uni-hannover.de <strong>Funding</strong>: This work was partially funded by DFG, German Research Foundation (“WorldKG", DE 2299/2-1), the Federal Ministry of Education and Research (BMBF), Germany (“Simple-ML", 01IS18054), the Federal Ministry for Economic Affairs and Energy (BMWi), Germany (“d-E-mand", 01ME19009B), and the European Commission (EU H2020, “smashHit", grant-ID 871477).### 数据集描述 GeoVectors语料库是一套大规模综合性开放式链接语料库，基于开放街道地图（OpenStreetMap，https://www.openstreetmap.org/）实体嵌入构建，涵盖超过9.8亿个实体的潜在表征。该语料库能够捕捉开放街道地图实体的语义与地理双重维度特征，并可直接供机器学习应用调用。其中带"-tags"后缀的数据集仅提供涵盖开放街道地图实体语义维度的嵌入向量，而带"-location"后缀的数据集则提供地理维度的嵌入向量。 ### 数据集内容 本数据集源自2020年11月10日的开放街道地图快照（© 开放街道地图贡献者）。我们将GeoVectors按区域划分子集进行发布，本次提供的子集为"西欧（Europe-west）"区域的位置嵌入数据集，覆盖以下国家及地区：安道尔、奥地利、亚速尔群岛、比利时、丹麦、法罗群岛、根西岛与泽西岛、爱尔兰及北爱尔兰、马恩岛、列支敦士登、卢森堡、马耳他、摩纳哥、荷兰、挪威、葡萄牙、西班牙、瑞士。 ### 文件格式 嵌入向量采用制表符分隔值（TSV）格式存储。每一行对应一个开放街道地图实体的嵌入向量：第一列为实体类型，可选值为节点（node，缩写n）、路径（way，缩写w）或关系（relation，缩写r）；第二列为对应实体的开放街道地图编号；其余列则为嵌入空间的各维度向量（详见附带的header.tsv文件）。 ### 更多信息 如需获取更多相关信息，请访问：http://geovectors.l3s.uni-hannover.de ### 资助说明 本研究工作部分受以下机构资助：德国研究基金会（DFG，"WorldKG"项目，编号DE 2299/2-1）、德国联邦教育与研究部（BMBF，"Simple-ML"项目，编号01IS18054）、德国联邦经济事务与能源部（BMWi，"d-E-mand"项目，编号01ME19009B）以及欧盟委员会（欧盟H2020框架下的"smashHit"项目，资助编号871477）。