KGloVe DBpedia predicate object frequency embeddings

This dataset contains the vectors from computing KGloVe embeddings from a predicate object frequency weighted DBpedia 2016-04 graph. For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector. The parameter settings for the embedding are as specified in the paper: Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Global RDF Vector Space Embeddings. In The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I.

本数据集包含从经谓词-对象频率加权的DBpedia 2016-04知识图谱中计算得到的KGloVe嵌入（KGloVe Embeddings）向量。针对该图谱中的每个实体，压缩包内的文本文件均以一行形式存储实体名称及其嵌入向量。该嵌入的参数设置严格遵循下述论文中的设定：Michael Cochez、Petar Ristoski、Simone Paolo Ponzetto与Heiko Paulheim于2017年发表的《Global RDF Vector Space Embeddings》，收录于《The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I》。