This document discusses automating the reconciliation of subject terms from institutional repositories to Library of Congress controlled vocabularies by developing a plug-and-play API. It describes the Library of Congress Linked Data service which publishes vocabularies as linked data, and code on GitHub that uses this API to add Library of Congress subject URIs to institutional repository records programmatically using Python libraries. The goal is to integrate this automated subject reconciliation directly into institutional repositories' existing workflows.

1. Automating controlled
subjects from IR keywords

7. LC Linked Data Service
● http://id.loc.gov
– Library of Congress vocabs published and
searchable as linked data
● LCSH
● TGM
● NAF

8. The API
● id.loc.gov/ vocabulary /label/ term
● http://id.loc.gov/authorities/subjects/label/buildi
ngs
● http://id.loc.gov/vocabulary/graphicMaterials/lab
el/buildings

9. Thinking like a programmer

15. The code
● https://github.com/fsulib/metadataWorkflowRes
oruces
● addURI.py - http://bit.ly/2jNoegD
– Built on:
● LXML
● Using pymods – https://github.com/mrmiguez/pymods

16. What we have
● (nearly) Plug-n-Play subject reconciliation
service
● Editing all loaded IR records
● Adding service to current IR workflows