Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/2526
Title: The automation of subject indexing and the role of metadata in times of Large Language Models
Authors: Kasprzik, Anna 
Keywords: subject indexing;automation;machine learning;artificial intelligence;IT infrastructure;metadata;large language models;neuro-symbolic integration
Issue Date: 15-May-2024
Publisher: euroCRIS
Series/Report no.: CRIS2024: 16th International Conference on Current Research Information Systems (Vienna, Austria, May 15-17, 2024)
Conference: CRIS2024 – Vienna 
Abstract: 
So far, virtually every system that facilitates access to and exploration of information resources – library catalogues, discovery systems, research information systems – has metadata as a central component. Accordingly, generating and curating high-quality metadata has always been a core activity of information infrastructure institutions, especially libraries. This includes creating or extracting semantic metadata, also called subject indexing, i.e., the enrichment of metadata records for textual resources with descriptors from a standardized, controlled vocabulary. Due to the proliferation of digital documents, it is no longer possible to annotate every single document intellectually, which generates the need to explore the potentials of automation on every level.
Description: 
Extended abstract presented at the CRIS2024 conference in Vienna.-- Event programme available at https://cris2024.eurocris.org/#programme

14 slides.-- Presentation delivered within Session 3.2 "New developments" on Wed May 15th, 2024
URI: http://hdl.handle.net/11366/2526
Appears in Collections:Conference

Files in This Item:
File Description SizeFormat
Kasprzik-CRIS2024-Automation-subject-indexing.pdfExtended abstract (PDF)124.05 kBAdobe PDF
View/Open
Kasprzik-CRIS2024_slides_Automation-subject-indexing.pdfPresentation (PDF)1.04 MBAdobe PDF
View/Open
Show full item record

Page view(s)

164
checked on Jul 13, 2024

Download(s)

98
checked on Jul 13, 2024

Google ScholarTM

Check


Items in DSpace are offered under a CC-BY 4.0 licence unless otherwise indicated