Document (#42643)

Author

Chen, S.-J.

Title

Semantic enrichment of linked personal authority data : a case study of elites in late imperial China

Source

Knowledge organization. 46(2019) no.8, S.607-614

Year

2019

Abstract

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.

Content

DOI:10.5771/0943-7444-2019-8-607.

Footnote

Beitrag in einem Special Issue: Best papers from NASKO, ISKO-UK, ISKO-France, ISKO-Brazil 2019.

Theme

Normdateien

Location

China

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4. Gracy, K.F.: Enriching and enhancing moving images with Linked Data : an exploration in the alignment of metadata models (2018) 0.21

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5. Collovini de Abreu, S.; Vieira, R.: RelP: Portuguese open relation extraction (2017) 0.19

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