GeoVectors-Germany-Nodes-Relations-tags (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 similarities of OpenStreetMap entities and make them directly accessible to machine learning applications. The "-tags" datasets provide embeddings that capture the semantic similarities of OpenStreetMap entities. The "-location" datasets provide the geographic similarities. <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 tag-embeddings for the nodes and relations of the region "Germany" including the following countries: Germany <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的开放链接式开放街道地图（OpenStreetMap，OSM）实体嵌入综合语料库，涵盖超过9.8亿个实体的潜在表征。该语料库可捕捉开放街道地图实体的语义与地理相似性，且能直接供机器学习应用调用。其中带"-tags"后缀的数据集提供用于表征开放街道地图实体语义相似性的嵌入向量，带"-location"后缀的数据集则提供对应地理相似性的嵌入向量。 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）。我们按区域子集形式发布GeoVectors嵌入向量，本次提供的子集包含"德国"区域及其下辖区域的节点与关系的标签嵌入，涉及区域：德国。 文件格式：嵌入向量以制表符分隔值（TSV）格式存储。每一行对应单个开放街道地图实体的嵌入向量：第一列为实体类型，第二列为对应实体的开放街道地图ID，类型可分为节点（node，缩写n）、路径（way，缩写w）或关系（relation，缩写r），剩余列即为嵌入空间的各个维度。（详见header.tsv文件） 补充信息：如需获取更多相关信息，请访问 http://geovectors.l3s.uni-hannover.de 资助说明：本研究部分受德国研究基金会（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（EU H2020框架下的"smashHit"项目，资助编号871477）资助。