ARCHIVED

Advanced Information Modelling

Semantic modelling and linked research data

Institution: University of GrazProgramme: Master's Programme in Digital HumanitiesFormat: University course2020–20235 Sessions90 Minuten

The course connected conceptual modelling with Semantic Web technologies for Digital Humanities data. Students represented domain knowledge as RDF, queried graph data with SPARQL, designed ontologies and transformed tabular or XML sources into linked data.

Instructor: Dr. Christopher Pollin

Contact: christopher.pollin@dhcraft.org

Material status

The archived course structure and the links on this page are verified. The supplementary RDF Basics chapter is marked as a draft; some secondary paths inside archived transformation tutorials still reflect an earlier repository structure.

Learning Outcomes

  • Explain the principles of the Web of Data and Linked Open Data
  • Model research data as RDF and RDFS
  • Query graph data with SPARQL
  • Design and evaluate domain ontologies with OWL
  • Transform CSV and XML sources into RDF

Prerequisites

  • Basic knowledge of data structures
  • Experience with XML or relational data is helpful

Sessions

1
SESSION 1

Web of Data and Linked Open Data

From document links to machine-readable statements and reusable research data.

Topics
  • Semantic Web
  • Linked Data principles
  • Persistent identifiers

MATERIALS:

Semantic Web and Linked Open Data Introduction video The Next Web Tim Berners-Lee Linked Data Tim Berners-Lee
2
SESSION 2

RDF and RDFS

Graph-based data modelling, vocabularies and common RDF serialisations.

Topics
  • RDF triples
  • Turtle
  • RDFS vocabularies

MATERIALS:

RDF and RDFS RDF RDFS RDF Basics (draft) RDF and RDFS exercises
3
SESSION 3

SPARQL and triple stores

Loading RDF datasets and formulating reproducible graph queries.

Topics
  • Triple stores
  • SPARQL patterns
  • Aggregation and ordering

MATERIALS:

SPARQL SPARQL tutorial, part 1 SPARQL tutorial, part 2 Blazegraph tutorial SPARQL and triple-store exercises SPARQL for Digital Humanities
4
SESSION 4

Ontology engineering

Conceptualising domains with classes, properties and formal constraints.

Topics
  • Ontology design
  • OWL
  • Protégé and WebVOWL

MATERIALS:

Introduction to ontologies OWL Ontology tutorial, part 1 Entity-relationship ontology tutorial Ontology and OWL examples
5
SESSION 5

Transforming source data to RDF

Practical conversion workflows for CSV and XML/TEI data.

Topics
  • Python and RDFLib
  • Tarql
  • XSLT transformations

MATERIALS:

Transformation tutorials and examples

Resources

Essential Tools

Recommended Reading

Online Resources