DH2022-workshop

LOD in Practice. Tutorial at DH2022, Tokyo/virtually, July 25, 2022

Agenda

9am - 9:50am ET

• Introductions
  • General Introduction
  • DHTech (Julia Damerow)
  • Linked Data, Semantic Web, SPARQL (Christian Chiarcos)
• Tools to be used
  • Pelagios/Recogito (Robert Casties)
  • Protégé (Christian Chiarcos)
  • BlazeGraph (Robert Casties)
  • Jupyter NoteBooks (Robert Casties)

9:50am - 10am ET Break

10am - 10:55am ET

• Annotating data in Recogito (Christian Chiarcos)
  • Example data: Get it from https://tinyurl.com/mtukhwtk (= https://github.com/dh-tech/DH2022-workshop/blob/main/data/genesis-1-10.txt)
  • Walk through with example data
  • Work with your own data! (30min)

10:55am - 11:15am ET

• Using Protege (Robert Casties)
  • Walk through with example data (20min)
    • load ontology
    • explore ontology
    • scope notes

11:15am - 11:20am ET Break

11:20am - 12:10pm ET

• Ingest data into Blazegraph (Robert Casties, Malte Vogl)
  • Jupyter notebooks: https://github.com/dh-tech/DH2022-workshop/tree/main/notebooks
  • BlazeGraph instance: https://c101-053.cloud.gwdg.de/
  • Walk through with example data (20min)
    • map relationship to ontology relation
    • run notebooks to ingest data
  • Work with own dataset (30min)

12:10pm - 12:30pm ET

• Query data from Jupyter Notebook (Malte Vogl, Robert Casties)
  • Walk through with example data (20min) - query relations between entities to create a graph and plot it

12:30pm - 1pm ET

• Mandala KMaps project (Rennie Mapp)
• Discussion
  • Is this useful?
  • Do you think you’ll use it?
  • What resources are required for such a project?
  • What materials would you find useful to be provided to you?