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Dataset Work
- I’m continuing in my work from Sunday and attempting to create RDF/XML using Joshua’s finalObject.csv file from last semester
- His script for generating JSON-LD (2015-16_JDull/Code/objectsCode/objectJSONLD.py) could be helpful for format conversion, though http://rdf-translator.appspot.com/ could also work, depending on how accurate it is.
Tableau
Notes From Farris
- Hoping to append current collection pages with linked data.
- Create sample records for each entity type (Constituent, Object, events, etc). Yale Center for British Art as model.
- Confirm Skype date w/Cristina
- Do not resolve against base URI (IDs rather than set URLs), as these URLs are not known.
- Tableau – great, but try to include purchase dates of objects, plus biographical details about constituents, possibly linking to Wikidata, etc. The Wikidata coordinate location property (https://www.wikidata.org/wiki/Property:P625) if nothing else
- WorldCat identities – bibliographic source?
Important GREL Transform Expressions for OpenRefine:
grel: value.replace(‘,’, ”)” |
grel: “http://www.wikidata.org/entity/”+cell.recon.match.id” |
grel: cell.recon.match.id |
grel: “http://www.viaf.org/viaf/”+cell.recon.match.id” |
grel: “https://tools.wmflabs.org/openrefine-wikidata/en/fetch_values?item=”+cell.recon.match.id+”&prop=P245” |
grel: “https://tools.wmflabs.org/openrefine-wikidata/en/fetch_values?item=”+cell.recon.match.id+”&prop=P245” |
grel: value.parseJson().values.replace(‘[‘,”).replace(‘]’,”).replace(‘\”‘,”) |
grel: “http://vocab.getty.edu/page/ulan/”+value |
grel: “http://collection.britishmuseum.org/id/person-institution/”+value |
grel: “http://edan.si.edu/saam/id/person-institution/”+value |