A person‐agent and related information resources: A case study of complex relationships. Issue 1 (22nd October 2020)

• Record Type: Journal Article
• Authors: Lee, Hur‐Li; Kipp, Margaret; Yang, Li
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 57:Issue 1(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-10-22
• Subjects: linked data -- name authorities -- title authorities -- data modelling; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.231
• Languages: English
• ISSNs: 2373-9231

Abstract

ABSTRACT: Identifying and mapping relationships is of increasing importance as many cultural heritage institutions work to model data in Linked Data (LD) format. As a pilot of a larger LD project, this study examines relationships between information resources, between person‐agents and resources, and between person‐agents, in order to improve description and access to information related to persons and resources. We used a case‐study approach to identify new and previously‐defined relationships in bibliographic records associated with a person‐agent. To find a case that exhibits complex relationships, we selected Lin Huiyin (林徽因), a famous Chinese architect, architectural historian, poet, artist, designer, and writer in the 20th century. We collected 903 records using WorldCat and China Academic Library & Information System. We applied a coding scheme consisting of relationship categories from several existing taxonomies. In the analysis, additional relationships emerged, which were then added to the coding scheme. Our next step is to broaden the scope of the case by examining other types of resources outside libraries such as Lin's architectural works. Further studies of complex cases will allow us to refine our taxonomy and develop an LD model for relationships between resources and person‐agents.