Semantic links between selected CSV datasets harvested by the European Data Portal and the DBpedia knowledge graph

These dataset contains the results of the interlinking process between selected csv datasets harvested by the European DAta Portal and the DBpedia knowledge graph. 

We aim at answering the following questions:
What are the more popular column types?  This will provide hindsight about what the datasets hold and how they can be joined. It will also provide hindsight on what specific linking schemes could be applied in future elements.
What datasets have columns of the same type?  This will suggest datasets that may be similar or related.
What entities appear in most datasets (co-referent entities)? This will suggest entities for which more data is published.
What datasets share a particular entity? This will suggest datasets that may be joined, or are related through that particular entity

Results are provided as augmented tables, that contain the columns of the original csv, plus a metadata file in JSON-LD format. The metadata files can be loaded in an RDF-store and queried.

Refer to the accompanying report of activities for more details on the methodolog and how to query the dataset.

本数据集收录了由欧洲数据门户（European DAta Portal）采集的精选CSV数据集与DBpedia知识图谱之间的关联处理结果。

我们旨在解答以下问题：
何为更为常见的列类型？此类分析可帮助我们洞察数据集的内容构成与可关联方式，同时也能为后续环节可采用的特定关联方案提供参考依据。
哪些数据集拥有相同类型的列？该结论可用于识别相似或存在关联的数据集。
多数数据集中共出现的实体（co-referent entities）有哪些？此类实体往往意味着存在更多可公开获取的相关数据。
哪些数据集共享某一特定实体？此类结果可用于提示可通过该实体实现关联或存在关联关系的数据集。

结果以增强表形式提供，其中包含原始CSV数据集的列信息，同时附带一份JSON-LD格式的元数据文件。该元数据文件可加载至RDF存储库（RDF-store）中并进行查询。

请参阅随附的执行报告，以了解方法学细节及数据集的查询方式。