RMIT University
Browse

Person-Oriented Ontologies Analysis for Digital Humanities Collections from a Metadata Crosswalk Perspective

conference contribution
posted on 2024-11-03, 15:19 authored by Rui Liu, Dana Marjory McKayDana Marjory McKay, George Buchanan
Mapping between different representations of similar data is a common challenge in digital humanities (DH). In practical DH collections, the ‘person’ is an essential and centric unit and other parts could link to the ‘person’ to form the knowledge base. However, there is still no general and useful person-oriented ontology in DH community. Many practical DH projects have developed their own ontologies by DH experts, but these ontologies are not interoperable. Therefore, it is important to explore existing biographical ontologies and develop a comprehensive person-oriented ontology for DH. Using the metadata crosswalk method, we examined the ontologies provided for persons in three DH collections to analyze how they map onto standard ontologies such as FOAF (friend of a friend). This paper uncovers a significant and consistent gap between standard biographical ontologies and those used in practical DH collections, arriving at a set of heterogeneous problems, including different granularities of metadata. Consequently, we propose three key person-oriented ontological types of elements, drawing on this metadata crosswalk: basic biographical elements, relational elements, and explanatory elements (such as career, connected with role and time). This metadata crosswalk provides a foundation for future matching between person-oriented ontologies and facilitates semantic interoperability between DH collections.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1002/pra2.786
  2. 2.
    ISSN - Is published in 23739231

Start page

255

End page

266

Total pages

12

Outlet

Proceedings of the 86th Annual Meeting of the Association for Information Science and Technology

Name of conference

ASIS&T 2023

Publisher

John Wiley & Sons

Place published

United States

Start date

2023-10-27

End date

2023-10-31

Language

English

Copyright

Copyright © 2023 by the authors

Former Identifier

2006126822

Esploro creation date

2023-12-23

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC