2026-10-01T21:07:41Z https://dcpapers.dublincore.org/oai

oai:dcpapers.dublincore.org:952633234 2026-09-10 dcmi-2026 openaire

Grounding AI Subject Cataloguing in Standards and Policy: An MCP Server for Live LC Authority Lookup and a DITA-Encoded SHM for RAG Chan, May Large language models (LLMs) applied to subject cataloguing using Library of Congress Subject Headings (LCSH) tend to generate headings and strings that are syntactically plausible but policy-invalid, bypassing the controlled vocabularies and governing rules that subject collocation depends on. This paper describes a two-track experiment to address the lack of grounding in standards and policy. The first track is lc-vocabularies-mcp, a Model Context Protocol (MCP) server connecting an LLM to live Library of Congress (LC) linked data APIs, enabling real-time authority validation for LCSH and related controlled vocabularies. The second track is a conversion of the Subject Headings Manual (SHM) from PDF to structured DITA (Darwin Information Typing Architecture), designed as a machine-actionable retrieval-augmented generation (RAG) corpus. Together, the two tracks support a five-part subject cataloguing workflow in which non-parametric knowledge is supplied to Claude at each part where parametric knowledge alone is insufficient. The paper reports on the architecture of lc-vocabularies-mcp, the DITA conversion methodology, and an evaluation design that tests whether policy-grounded retrieval improves AI-assisted subject cataloguing. Dublin Core Metadata Initiative 2026-09-10 info:eu-repo/semantics/conferenceObject Text application/pdf text/html https://doi.org/10.23106/dcmi.952633234 https://dcpapers.dublincore.org/article/952633234 Dublin Core Metadata Initiative Conference Proceedings eng info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/