2026-08-20T13:44:07Z https://dcpapers.dublincore.org/oai

oai:dcpapers.dublincore.org:952586098 2025-12-24 dcmi-2025

Leverage Natural Language Processing (NLP) to improve the discoverability of academic resources Chou, Charlene Khunti, Shravan Bhargava, Harshit metadata management NLP (Natural Language Processing) generative AI semantic enrichment controlled vocabularies LLM (large language model) information retrieval This interdisciplinary project is a collaboration among library metadata librarians, data scientists, digital library technologists, university IT, and the university press. Its goal is to improve the discoverability of academic resources by enhancing metadata through Natural Language Processing (NLP) and embedding-based semantic search, addressing the limitations of traditional keyword-based retrieval. To support this pilot, a library NLP system architecture has been designed, including the development of a vector database to enable semantic search within discovery platforms Dublin Core Metadata Initiative 2025-12-24 Text application/pdf text/html https://doi.org/10.23106/dcmi.952586098 https://dcpapers.dublincore.org/article/952586098 Dublin Core Metadata Initiative Conference Proceedings en https://creativecommons.org/licenses/by/4.0/