Class Guide: FSCI 2023's E08 Publishing from Collections Using Linked Open Data Source and Computational Publishing Pipelines
2023-07-28 v1.1
This is a hands-on class for participants with no prior experience of computational publishing using Jupyter Notebooks and linked open data (LOD).
The class has three demonstration use cases for the auto-creation of multi-format catalogue publications:
- A painting exhibition catalogue: This demonstrates how Wikidata/base can be used to source content.
- A publishers book catalogue: Here the book catalogue and metdata service Thoth is queried automatically once a days to automatically update the publishers catalogue with new titles.
- A research literature collator to create readers (experimental prototype): The example shows how climate change literature can be searched by authors to create references readers to support the work on City Climate Change Plan creation. Made with the FSCI Hackathon organisers #semanticClimate
The example workflows have been put together by researchers from the two research consortia NFDI4Culture – National Research Data Infrastructure Germany, and COPIM (Community-led Open Publication Infrastructures for Monographs) in consultation with the publisher Open Book Publishers, Cambridge (UK).
Distributed LOD sources include: Wikidata and Thoth.
Coordinated by Simon Worthington - NFDI4Culture @Open Science Lab, TIB, Hannover; with Simon Bowie - Centre for Postdigital Cultures Coventry University and, Janneke Adema - Centre for Postdigital Cultures | Institute for Creative Cultures | Coventry University (both of the COPIM project).
DOI: TBC | Author: Simon Worthington https://orcid.org/0000-0002-8579-9717
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
