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Semantic Enrichment of Linked Personal Authority Data: A Case Study of Elites in Late Imperial China

机译：关联的个人权限数据的语义丰富：以帝制晚期中国的精英为例

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摘要

The study uses the Database of Names and Biographies (DNB) as an example to explore how in the transformation of original data into linked data, semantic enrichment can enhance engagement in digital humanities. In the preliminary results, we have defined instance-based and schema-based categories of semantic enrichment. In the instance-based category, in which enrichment occurs by enhancing the content of entities, we further determined three types, including: 1) enriching the entities by linking to diverse external resources in order to provide additional data of multiple perspectives; 2) enriching the entities with missing data, which is needed to satisfy the semantic queries; and, 3) providing the entities with access to an extended knowledge base. In the schema-based categories that enrichment occurs by enhancing the relations between the properties, we have identified two types, including: 1) enriching the properties by defining the hierarchical relations between properties; and, 2) specifying properties' domain and range for data reasoning. In addition, the study implements the LOD dataset in a digital humanities platform to demonstrate how instances and entities can be applied in the full texts where the relationship between entities are highlighted in order to bring scholars more semantic details of the texts.
机译：该研究以姓名和人物传记数据库（DNB）为例，探讨了在将原始数据转换为链接数据时，语义丰富化如何增强对数字人文学科的参与。在初步结果中，我们定义了语义丰富的基于实例和基于模式的类别。在基于实例的类别中，通过增强实体的内容来实现充实，我们进一步确定了三种类型，包括：1）通过链接到各种外部资源来充实实体，以便提供多角度的附加数据； 2）利用缺少数据来丰富实体，这是满足语义查询所必需的； 3）向实体提供访问扩展知识库的权限。在通过增强属性之间的关系进行丰富的基于模式的类别中，我们确定了两种类型，包括：1）通过定义属性之间的层次关系来丰富属性； 2）指定属性的范围和范围以进行数据推理。此外，该研究在数字人文科学平台中实现了LOD数据集，以演示如何在全文中应用实例和实体，其中突出了实体之间的关系，以便为学者带来更多的文本语义细节。

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