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An interactive AI-based approach to semantic annotations for the SpokenWeb archive

Title:

An interactive AI-based approach to semantic annotations for the SpokenWeb archive

Berrizbeitia, Francisco ORCID: https://orcid.org/0000-0002-1542-8435 (2022) An interactive AI-based approach to semantic annotations for the SpokenWeb archive. In: 20th Annual Research Forum, 26 April 2022, Montreal.

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Abstract

Adding semantic annotations to archival metadata allows to generate an alternative representation of the dataset in the form of a graph. This can be useful for multiple reasons: discovery of new relationships between objects, improves findability and allows for more sophisticated queries using the sparql query language. In this poster we will explain the rationale used to develop a web-based tool to help users deal with this task using a semi-automatic approach that ensures high quality annotations while leveraging natural languages understanding techniques to speed up the process.

Divisions:Concordia University > Library
Item Type:Conference or Workshop Item (Poster)
Refereed:No
Authors:Berrizbeitia, Francisco
Date:26 April 2022
Keywords:AI, linked data, semantic web, knowledge graphs, wikidata
ID Code:992198
Deposited By: Francisco Berrizbeitia
Deposited On:09 May 2023 20:45
Last Modified:14 May 2024 17:08
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