This is class 7: http://mbcode.github.io/openHPI.png
 of refreshers after grad school

n16mb17: /hpi/KGs> gred "^[EA1-7][xd\.]" w*/doc/txt/[1-7].0*txt | cut -d':' -f2-
2.0 Lecture Overview
2.1 How to Identify and Access Things
2.2 How to Represent Simple Facts with RDF
2.3 RDF Turtle Serialization
2.4 Vocabularies and Model Building with RDFS
2.5 RDF Complex Data Structures
Excursion 1: RDF Reification and RDF*
2.6 Logical Inference with RDF(S)
Excursion 2: RDFa – RDF and the Web
Additional Hands-On:
2.1 RDFLib - RDF Serialization and Visualization
2.2 RDFLib - RDF Graph Manipulation
2. Basic Knowledge Graph Infrastructure
3.0 Lecture Overview
3.1 How to Query RDF(S)
Excursion 3: DBpedia Knowledge Graph
Excursion 4: Wikidata Knowledge Graph
3.2 Complex Queries with SPARQL
3.3 More Complex SPARQL Queries
3.4 SPARQL Sub-Select and Property Paths
3.5 SPARQL is more than a Query Language
3.6 Quality Assurance with SHACL Constraints
Additional Hands-On:
3.1 Querying Knowledge Graphs with SPARQL - Wikidata
3.2 Querying Knowledge Graphs with SPARQL - DBpedia
3.3 SPARQL Query Federation
3. Querying Knowledge Graphs with SPARQL
4.0 Lecture Overview
4.1 From Aristotle to AI: Exploring Ontologies in Computer Science
4.2 The Crucial Role of Mathematical Logic
Excursion 5: Essential Logics in a Nutshell
Excursion 6: Description Logics
4.3 The Web Ontology Language OWL
4.4 From simple to complex: Scaling up with OWL
4.5 Unlocking the Potential of OWL
Additional Hands-On:
4.1 Introduction to Protégé Web and Desktop
4.2 Reasoning with Protégé
Exp
4. Ontologies as Key to Knowledge Representation
5.0 Lecture Overview
5.1 Beyond the Limits of OWL
Excursion 7: The Semantic Web Rule Language SWRL
5.2 How to design your own Ontology
5.3 How to design better Ontologies
5.4 Ontological Engineering
5.5 Knowledge Graph Construction
5.6 Ontologies & Knowledge Graphs – Best Practices
Additional Hands-On:
5.1 NLP and Knowledge Graph Construction
5.2 Knowledge Graph Construction with OpenRefine
5.3 SWRL with Protégé Ontology Editor
5. Ontological Engineering for Smarter Knowledge Graphs
6.0 Lecture Overview
6.1 The Graph in Knowledge Graphs
Excursion 8: Distributional Semantics and Language Models
6.2 Knowledge Graph Embeddings
6.3 Knowledge Graph Completion
6.4 Knowledge Graphs and Language Models
6.5 Semantic Search
6.6 Exploratory Search and Recommender Systems
Additional Hands-On:
6.1 Network Analysis
6.2 Introduction to Knowledge Graph Completion using TransE
6. Intelligent Applications with Knowledge Graphs and Deep Learning