AI for Duplicate Record Detection in Current Research Information System

Author(s)
Keywords

artificial intelligen...

research information ...

deduplication

large language models...

current research info...

case studies

Issue Date
April 24, 2025
Publisher
euroCRIS
Type
Presentation
Abstract
The presentation provides a case study on the application of artificial intelligence to research information management for the purpose of identifying duplicate records for publications. This is an ongoing area of activity of the CRISalid consortium formed by twelve institutions in France, https://crisalid.org/. The slides describe the process to detect duplicates for publications without any shared identifiers. Several data sources are harvested for the purpose of collecting a full bibliography, the ultimate objective being to help research institutions overcome the choice between commercial turnkey systems and the fragmented ecosystem of open platforms.
Description
12 slides.-- For more info, see the CRIS2024 Conference presentation on the SoVisu+ model at http://hdl.handle.net/11366/2578.
URI
https://dspacecris.eurocris.org/handle/11366/2722
File(s)
Thumbnail Image
Name

JDornbusch_CRISalid_AI-for-duplicate-record-detection-in-CRIS_AI4CRIS_20250424.pdf

Description
Presentation (PDF)
Size

1.64 MB

Format

Adobe PDF

Checksum (MD5)

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