AI for metadata quality improvement in a CRIS: automating data processes for researchers' benefit
Author(s)
Issue Date
November 27, 2024
Publisher
euroCRIS
Type
Presentation
Abstract
The presentation follows up on the update on the CRISalid project delivered at the CRIS2024 conference in Vienna earlier this year and focuses on the challenges posed by the identification of the data on research publications that should feed a CRIS. An eco-friendly, IA-based methodology is proposed to deal with the duplicates that inevitably arise when collecting information on research publications from multiple databases.
Description
18 slides.-- Presentation delivered within the National Session on Day I of the euroCRIS SMM2024 in Paris
URI
https://dspacecris.eurocris.org/handle/11366/2673
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Name
DReymond_SMM2024_CRISalid_slides.pdf
Description
Presentation (PDF)
Size
1.01 MB
Format
Adobe PDF
Checksum (MD5)
597368ab0c98b6befcda4f78218c06af
Conference(s)