♟️ FAIR Data for Traditional Games

A RDF Knowledge graph for traditional games:

• This is a repo for CLARIAH Fellowship Call 2021

• Proposal Accepted

• DARIAH2022 Conference Paper-In prep

• Data Stories PLAYFAIR-KG data storytelling

• More info E-Data & Research Article

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🎯 Objective

To make traditional games data Interoperable (the I in FAIR)

🧑‍💻 PLAY-FAIR Data Model

Concepts and properties are annotated with general (e.g. Schema.org, Dublin Core or wikipedia) and dedicated digital humanities (e.g. getty) ontologies:

• Data Model Game table - describes a Game
• Data Model Ruleset Regions - describes the rulesets of a Game given geographical regions
• Data Model Ruleset Periods - describes the rulesets of a Game given historical periods

🎲 Data Identification & Argumentation

We link Ludeme dataset to data descriptors from the Digital Collection of the British Museum as following:

• keyword: game-board
• Query database: https://www.britishmuseum.org/collection/search?object=game-board
• Download dataset: collections-22-01-26-10 28 18.csv

Other sources from digital collection of international museums are currently being incorporated:

• Louvre Museum:
  • keyword: plateau de jeu
  • Query database: https://collections.louvre.fr/search/export?q=%22plateau%20de%20jeu%22
  • Download dataset csv format: Link

See the ongoing scripts and notebooks using python.

♠️ Install locally

Install dependencies:

yarn global add @rmlio/yarrrml-parser
wget https://github.com/RMLio/rmlmapper-java/releases/download/v4.12.0/rmlmapper.jar
pip install cow-csvw

🐮 Run CoW for Game level:

• The Input CSV file is in ./data:

  • data/tableGames.csv

• Generate the metadata file with CSVw mappings:

cow_tool build data/tableGames.csv

• Change the json file generated:

  • Change the base URI to w3id.org/ludeme
  • Add propertyUrl to map to our predicates (cf. https://www.w3.org/TR/tabular-data-primer/#property-names)

• You can check our JSON Skeleton Schema in ./data:

  • tableGames.csv-metadata.json

• Run the CSVw mappings to generate RDF:

cow_tool convert data/tableGames.csv

• The Output RDF file is in ./data:

  • data/tableGames.csv.nq

🪄 Convert spreadsheets to Linked Data for Ruleset level

• The Inputs CSV files are in ./data:

  • data/rulesetRegions.csv
  • data/rulesetPeriods.csv

• Follow the instructions given here:

  • https://humanities.wizard.semanticscience.org/

• The Outputs RDF file are in ./data:

  • data/rulesetRegions.csv.nq
  • data/rulesetPeriods.csv.nq

🪄 RDF files to Druid

• Graphs:

  • Datasets publicly available here: https://druid.datalegend.net/UtrillaGuerreroC/playfair

• Services:

  • The SPARQL endpoint is accessible at https://druid.datalegend.net/UtrillaGuerreroC/playfair/sparql/playfairKG

• Check the SPARQL queries

Queries from the grlc API can be checked and changed in the .rq files.

• Examples:

• Get Games
• Get images
• Get network

Website

Want to learn more? Check out PLAYFAIR Website!

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Acknowledgement

PLAYFAIR is funded by CLARIAH Fellowship Call 2021:

    

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This research received funding from the CLARIAH Infrastructure (Grant Agreement No. CP-21-F-I 5) under the WP-3.

License

Copyright (C) 2021, CLARIAH-PLUS WP1: CP-21-F-I 5

MIT License

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