InvenioRDM Telecon: AI-assisted Metadata Extraction Accuracy Evaluation and Cross-community Request Visibility

Presentation on InvenioRDM's AI-assisted metadata extraction accuracy evaluation (and other metrics methodology), and on cross-community request visibility.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22678786
Primary Topic
Library Science and Information Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

InvenioRDM Telecon: AI-assisted Metadata Extraction Accuracy Evaluation and Cross-community Request Visibility

Zacharias Zacharodimos, Julie Skoven Hinge, Pal Kerecsenyi
Zenodo (CERN European Organization for Nuclear Research)
Library Science and Information Systems
article

InvenioRDM Telecon: AI-assisted Metadata Extraction Accuracy Evaluation and Cross-community Request Visibility

Zacharias Zacharodimos, Julie Skoven Hinge, Pal Kerecsenyi
article en

Abstract

Presentation on InvenioRDM's AI-assisted metadata extraction accuracy evaluation (and other metrics methodology), and on cross-community request visibility.

Zenodo (CERN European Organization for Nuclear Research)
European Organization for Nuclear Research (CH)
Openalex Percentile: Top 3%
Library Science and Information Systems
DOIOpen Access PDFOpenAlex
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