Hope you are doing well.
Here is the minutes of our last meeting, which took place on October 30. My apologies for the delay.
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After brief self-introductions, we divided into two groups: one focused on theoretical discussions about concept mapping and reconciliation, and the other on the technical implementation of these topics.
Gabby Bodard’s theoretical session:
- Talked about why we are doing this
- Possibilities for aligning and reconciling prosopographies and people data sets, even when they will have no overlapping people
- Started looking at Aeschylus in four library data sets; only looked at one BNF
- Possibilities for the next meeting
- Descriptions of data sets and explanations of acronyms
- Time set aside at the beginning to discuss goals
- Data in github not all presented in the same way; some hard (for Emily at least) to search through (for example, the BNF data https://github.com/DigiClass/LOD-People/tree/main/sample-data/BNF ), so maybe it would be helpful to find specific records ahead of time (such as records for Aeschylus in library catalogs) to save time during meeting?
Jun Ogawa’s technical session:
- Nurdan starts working on transforming non-rdf data into rdf using OepnRefine
- Need to share skill package for those not very familiar with RDF technical skills
- Akihiro works on transforming XML-RDF into Wikidata
- Jun
- Start working on MANTO csv data, transforming into Turtle RDF data
- Vocabularies should be used for creating RDF are controversial
- MANTO doesn’t provide ‘formal’ properties
- Align to Wikidata?
- Conceptual gap between MANTO and wikidata
- Define original properties following manto vocabularies?
- Outputs (possible options)
- Upload newly created data to the GitHub Repository (for each dataset)
- Upload to light-weight, free, open-source triple store (e.g. Dydra)
- Experimenting queries and see how data works
- Possibilities for the next meeting
- Prepare guidelines for:
- Basic skill sets recommended to participate
- Lists of basic concepts in Wikidata (for Wikidata transformation)