Mining Typewritten Digital Representations to Support Archival Description

• Type: Article in International Conference Proceedings Book
• Date: 2022

Authors

Dias, M (Author) Other; Carla Teixeira Lopes (Author) FEUP

Conference proceedings International

Title: Proceedings of the 26th International Conference on Theory and Practice of Digital Libraries - Workshops and Doctoral Consortium, Padua, Italy, September 20, 2022.

Pages: 70-76

26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022

20 September 2022

Indexing

Scopus - 1 Citation

Other information

Authenticus ID: P-00X-BJK

Abstract (EN): Linked Data is used in various fields as a new way of structuring and connecting data. Cultural heritage institutions have been using linked data to improve archival descriptions and promote findability. The required detail in manual descriptions of cultural heritage objects can be taxing and time-consuming. Given this, in EPISA, a research project on this topic, we propose to use the contents of the digital representations associated with the objects to assist archivists in their description tasks. More specifically, to extract information from the digital representations useful for an initial ontology population that should be validated or edited by the archivist. We apply optical character recognition in an initial stage to convert the digital representation to a machine-readable format. We then use ontology-oriented programming to identify and instantiate ontology concepts using neural networks and contextual embeddings. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

Language: English

Type (Professor's evaluation): Scientific