# Better Recommendations: Validating AI-generated Subject Terms Through LOC Linked Data Service

arXiv: https://arxiv.org/abs/2508.00867 · HTML: https://mlsanity.com/paper/2508.00867/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Jul 2025.

## Built on by (most cited first, 1 of 1)

- [A Skill-Based AI Agentic Pipeline for Library of Congress Subject Indexing](https://mlsanity.com/paper/2605.03537/) (2026)

## Abstract (arXiv)

This article explores the integration of AI-generated subject terms into library cataloging, focusing on validation through the Library of Congress Linked Data Service. It examines the challenges of traditional subject cataloging under the Library of Congress Subject Headings system, including inefficiencies and cataloging backlogs. While generative AI shows promise in expediting cataloging workflows, studies reveal significant limitations in the accuracy of AI-assigned subject headings. The article proposes a hybrid approach combining AI technology with human validation through LOC Linked Data Service, aiming to enhance the precision, efficiency, and overall quality of metadata creation in library cataloging practices.