Abstract
This paper reports on the application of entification to collections of archival metadata. Entification refers to the identification of the entities described in information objects and associated metadata records. The process presents issues about whether existing records-style metadata records are suitable and how entification will affect user access and interaction with metadata and information objects. In this study, we developed an entification workflow that includes the following steps: data cleaning, entity reconciliation to create linked data through metadata enrichment, accuracy selection, and developing knowledge graphs to communicate the semantic relationships among entities. Additionally, we discuss the implications of entification for practitioners in the field of information science, especially current limitations in the process.
Original language | English (US) |
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Pages (from-to) | 111-120 |
Number of pages | 10 |
Journal | Proceedings of the Association for Information Science and Technology |
Volume | 59 |
Issue number | 1 |
DOIs | |
State | Published - 2022 |
Keywords
- Archival content representation
- Knowledge graph
- Metadata enrichment
- Metadata entification
- OpenRefine
ASJC Scopus subject areas
- General Computer Science
- Library and Information Sciences