ESG for Classes

该数据集是基于LOD-a-lot构建的类等效集图，旨在分析类之间的等效关系。在研究中发现，类等效现象比属性等效更为常见，但在实际应用中，等效集的实例化程度仍然较低，仅有31.7%的等效集得到了实际使用。该任务的目标是分析链接开放数据（LOD）的建模结构和风格。

This dataset is a class equivalence set graph constructed based on LOD-a-lot, aiming to analyze the equivalence relationships between classes. This study found that class equivalence phenomena are more common than property equivalence ones, but the instantiation rate of equivalence sets remains relatively low in practical applications, with only 31.7% of equivalence sets being actually utilized. The goal of this task is to analyze the modeling structure and style of Linked Open Data (LOD).