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An Interactive AI-based approach to Semantic Annotations for Archival Metadata

Title:

An Interactive AI-based approach to Semantic Annotations for Archival Metadata

Berrizbeitia, Francisco ORCID: https://orcid.org/0000-0002-1542-8435, Neugebauer, Tomasz ORCID: https://orcid.org/0000-0002-9743-5910 and Camlot, Jason ORCID: https://orcid.org/0000-0002-1378-6562 (2022) An Interactive AI-based approach to Semantic Annotations for Archival Metadata. In: 2022 LD4 Conference on Linked Data "Linking Global Knowledge", July 11th to July 15th, 2022, Virtual Conference.

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Abstract

SpokenWeb is a research network engaged in the digitization, cataloging and online presentation of audio-visual recordings that document literary activities event held in Canada since the 1950s. Is the network’s goal to develop robust Contents metadata to allow for granular navigation of the audio, and to link this data to other sources, to that end SpokenWeb cataloguers have aimed to add semantic annotations (Wikidata QIDs) to its metadata.

In this presentation we explain the rationale used to develop a web-based tool to help the cataloguers engage in the task of adding semantic annotations to metadata using a semi-automatic approach that ensures high quality annotations while leveraging Natural Language Understanding techniques to accelerate the process.

Divisions:Concordia University > Faculty of Arts and Science > English
Concordia University > Library
Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Authors:Berrizbeitia, Francisco and Neugebauer, Tomasz and Camlot, Jason
Date:12 July 2022
Projects:
  • SpokenWeb
Funders:
  • SSHRC
ID Code:990684
Deposited By: Tomasz Neugebauer
Deposited On:12 Jul 2022 16:17
Last Modified:22 Jul 2022 19:05
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