Virtual Learning Overview

Open an interactive lesson or its Markdown learning summary. Every link opens in a new tab.

Learning companions 10 HTML lessons, 10 Markdown summaries
Chapter 2

Web of Data

Graph data, queries, semantics, constraints, links, triples, and introductory inference.

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Chapter 3

RDF

Triples, IRIs, literals, datatypes, blank nodes, RDF serializations, and prefix usage.

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Chapter 4

RDFS

Class hierarchies, subproperties, domain and range, vocabulary building, and inference rules.

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Lecture 4

Knowledge Modelling & Ontologies 1

Ontology requirements, competency questions, modelling patterns, axioms, and Turtle generation.

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Lecture 5

OWL

OWL vocabulary, class expressions, property characteristics, reasoning, profiles, and modelling choices.

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Lecture 6

SPARQL

Query forms, graph patterns, filters, modifiers, result tables, evaluation, and SPARQL 1.1 features.

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Lecture 6 Part 2

SPARQL Part 2

SPARQL Update, federation, entailment regimes, algebra operators, complexity, and optimization.

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Chapter 7

Shape Constraints & Expressions

SHACL shapes, validation, constraint components, property paths, and SHACL versus ShEx.

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Lecture 11

Relation Extraction & Knowledge Graphs

Relation extraction methods, distant supervision, Open IE, KG-aware extraction, evidence, and pitfalls.

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Exercise 1

Danish Public Transport Ontology

Hands-on ontology design with transport classes, properties, cardinalities, constraints, and a solution.

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