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Test 2.2.3a The Papyrological Editor
◄ Test 2.2.2 The PN
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Aim of the ENCODE project
Intended learning objectives
Competences
Instructions
Acknowledgements
1.1 Why Digital Epigraphy?
Test 1.1.1 The Challenges of Digital Epigraphy
Test 1.1.2 Traditional Epigraphy and Digital Epigraphy
1.2 Mapping the Field of Digital Epigraphy
Test 1.2.3a Digital Corpora and Databases
Test 1.2.3b Digital Corpora and Databases
Test 1.2.3c Digital Corpora and Databases
1.3 From user to maker: learning by doing
Test 1.3.4 Explore an Epigraphic Database
1.4 From user to maker: principles and standards
Test 1.4.2 The FAIR Principles
1.5 From user to maker: effective pedagogies
Test 1.5.2 Teaching Digital Epigraphy
1.6 The digital epigraphic workshop: Editing
Test 1.6.2 The rules of XML
1.7 The digital epigraphic workshop: structuring data
Test 1.7.3 Digital Epigraphy and Authority Lists
1.8 The digital epigraphic workshop: contextualising
Test 1.8.1 Inscriptions in Context
1.9 The digital epigraphic workshop: disseminating
Test 1.9.3 Epigraphy and Public Engagement
1.10 AI and ancient inscriptions
Test 1.10.1 Ithaca
2.1 Mapping the Field of Digital Papyrology
Test 2.1.2 Bibliographical resources
Test 2.1.3 Metadata catalogs
Test 2.1.4 Indexes
2.2 From user to maker
Test 2.2.1 Text encoding
Test 2.2.2 The PN
Test 2.2.3b Catch the error!
2.3 Beyond Text Encoding
Test 2.3.1 QA of data and metadata
Test 2.3.2 AI
2.4 Digital Herculaneum Papyrology
Test 2.4.2 HPap
Test 2.4.4 HPap
2.5 Appendix: Digital Critical Editions
Test 2.5.1 SDE
Test 2.5.3 SDE
3.1 Database Infrastructures
Test 3.1.1 Relational databases
Test 3.1.2 Storing relational databases
Test 3.1.3a XML databases
Test 3.1.3b XML databases
3.2 Database GUI and visualization tools
Test 3.2.1 GUI and visualization
3.3 Databases and digital corpora
Test 3.3.2 DAMOS
Test 3.3.4 CEIPoM
Test 3.3.7 Trismegistos
3.4 Summary and best practices
4.1 Why use LOD for ancient written artefacts?
Test 4.1.1 How do I write "Homer" in other languages?
Test 4.1.3 Nomisma.org
Test 4.1.4 Wikidata Query Builder
4.2 Models for data: triples and RDF
Test 4.2.5. Hypothesis as Web Annotation tool
4.3 Models for triples: OWL and ontology design basics
Test 4.3.2 Who is the mother-in-law of Aline?
Test 4.3.3 Protégé
Test 4.3.4 Set up and query your own triplestore
4.4 Ask questions to data: SPARQL and visualizations
4.5 An example of LOD: The Online Lexicon Linguae Aethiopicae as RDF
Test 2.2.3b Catch the error! ►
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