Wiki3DRank scripts and data for Wiki Workshop 2026

This dataset contains the scripts and supporting data used to implement and experiment with Wiki3DRank, a method for ranking and analysing entities in knowledge graphs using a multidimensional approach. The package includes Python scripts and processed data used in the experiments presented at the Wiki Workshop 2026. Wiki3DRank models entity relevance through a three-dimensional ranking framework that combines different quantitative indicators derived from collaborative knowledge bases. The dataset enables the reproduction of the experimental workflow, including the generation of rankings and the exploration of entity distributions in a multidimensional space. The resource is intended for research on knowledge graphs, Linked Open Data, entity ranking and quantitative analysis of large collaborative knowledge repositories such as Wikipedia and Wikidata.本数据集包含用于实现与实验Wiki3DRank的脚本及辅助数据。Wiki3DRank是一种采用多维方法对知识图谱（knowledge graph）中的实体开展排序与分析的方法。本数据包涵盖2026年维基专题研讨会（Wiki Workshop 2026）上展示的实验所用Python脚本与预处理数据。Wiki3DRank借助整合了源自协作式知识库的多类定量指标的三维排序框架，对实体相关性进行建模。本数据集可复现完整实验流程，包括生成排序结果以及探索多维空间中的实体分布。本资源面向知识图谱、关联开放数据（Linked Open Data）、实体排序，以及维基百科（Wikipedia）、维基数据（Wikidata）等大型协作式知识库的定量分析相关研究。