Die Lerneinheiten in dieser Liste gehören zum Kurs Knowledge Graphs - Foundations and Applications. Möchten Sie auf den gesamten Kursinhalt zugreifen?
Welcome to the Course
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Pre-Course Survey
Umfrage
0.0 Lecture Overview
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Learning Material
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1.0 Lecture Overview - Knowledge Representation with Graphs
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1.1 From Data to Knowledge
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1.1 From Data to Knowledge
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1.2 Knowledge and How to Present It
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1.2 Basic Knowledge Graph Infrastructure
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1.3 The Art of Understanding
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1.3 The Art of Understanding
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1.4 Graphs and Triples
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1.4 Graphs and Triples
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1.5 Knowledge Graphs
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1.5 Knowledge Graphs
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1.6 The Semantic Web
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1.6 The Semantic Web
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1.7 Linked Data and the Web of Data
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1.7 Linked Data and the Web of Data
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Hands-On 1.1 Graph Creation from Text
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Hands-On 1.2 The Art of Understanding: Natural Language Processing
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Hands-On 1.3 NLP Ambiguities
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1.8 Weekly Assignment
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Welcome to Week 2!
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2.0 Lecture Overview
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Learning Material
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2.1 How to Identify and Access Things
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2.1 How to Identify and Access Things
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2.2 How to Represent Simple Facts with RDF
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2.2 How to Represent Simple Facts with RDF
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2.3 RDF Turtle Serialization
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2.3 RDF Turtle Serialization
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2.4 Vocabularies and Model Building with RDFS
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2.4 Vocabularies and Model Building with RDFS
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2.5 RDF Complex Data Structures
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2.5 RDF Complex Data Structures
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Excursion 1 Reification and RDF*
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Excursion 1: Reification and RDF*
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2.6 Logical Inference with RDF(S)
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2.6 Logical Inference with RDF(S)
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Excursion 2 RDFa – RDF and the Web
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Excursion 2: RDFa – RDF and the Web
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Hands-On 2.1 RDFLib - RDF Serialisation and Visualisation
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Hands-On 2.2 RDFLib - RDF Graph Manipulation
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2.7 Weekly Assignment
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Welcome to Week 3
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3.0 Lecture Overview - Querying Knowledge Graphs with SPARQL
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3.0 Hands-On Overview
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Learning Material
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3.1 How to Query RDF(S)
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3.1 How to Query RDF(S)
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Excursion 3: DBpedia Knowledge Graph
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Excursion 3: DBpedia Knowledge Graph
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Excursion 4: Wikidata Knowledge Graph
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Excursion 4: Wikidata Knowledge Graph
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3.2 Complex Queries with SPARQL
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3.2 Complex Queries with SPARQL
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3.3 More Complex SPARQL Queries
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3.3 More Complex SPARQL Queries
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3.4 SPARQL Sub-Select and Property Paths
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3.4 SPARQL Sub-Select and Property Paths
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3.5 SPARQL is more than a Query Language
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3.5 SPARQL is more than a Query Language
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3.6 Quality Assurance with SHACL Constraints
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3.6 Quality Assurance with SHACL Constraints
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Hands-On 3.1 Querying Knowledge Graphs with SPARQL - Wikidata
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Hands-On 3.2 Querying Knowledge Graphs with SPARQL - DBpedia
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Hands-On 3.3 SPARQL Query Federation
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3.7 Weekly Assignment
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Welcome to week 4
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4.0 Lecture Overview - Ontologies as Key to Knowledge Representation
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Hands-On 4.0 Overview
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Learning Material
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4.1 From Aristotle to AI: Exploring Ontologies in Computer Science
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4.1 From Aristotle to AI: Exploring Ontologies in Computer Science
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4.2 The crucial Role of Mathematical Logic
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4.2 The crucial Role of Mathematical Logic
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Excursion 5: Essential Logics in a Nutshell
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Excursion 5: Essential Logics in a Nutshell
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Excursion 6: Description Logics
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Excursion 6: Description Logics
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4.3 The Web Ontology Language OWL
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4.3 The Web Ontology Language - OWL
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4.4 From simple to complex: Scaling up with OWL
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4.4 From simple to complex: Scaling up with OWL
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4.5 Unlocking the Potential of OWL
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4.5 Unlocking the Potential of OWL
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Hands-On 4.1 Ontology Creation with Protégé
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Hands-On 4.2 Reasoning in Protégé
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4.6 Weekly Assignment
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Welcome to Week 5
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5.0 Ontological Engineering for Smarter Knowledge Graphs
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Learning Material
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5.1 Beyond the Limits of OWL
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5.1 Beyond the Limits of OWL
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Excursion 7 The Semantic Web Rule Language SWRL
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Excursion 7 The Semantic Web Rule Language SWRL
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5.2 How to Design Your Own Ontology
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5.2 How to design your own Ontology
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5.3 How to Design Better Ontologies
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5.3 How to Design Better Ontologies
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5.4 Ontological Engineering
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5.4 Ontological Engineering
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5.5 Knowledge Graph Construction
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5.5 Knowledge Graph Construction
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5.6 Ontologies & Knowledge Graphs – Best Practices
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5.6 Ontologies & Knowledge Graphs – Best Practices
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Hands-On 5.1 NLP and Knowledge Graph Construction
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Hands-On 5.2 OpenRefine
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Hands-On 5.3 SWRL in Protégé
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5.7 Weekly Assignment
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Welcome to Week 6
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6.0 Intelligent Applications with Knowledge Graphs and Deep Learning
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Learning Material
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6.1 The Graph in Knowledge Graphs
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6.1 The Graph in Knowledge Graphs
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Excursion 8 Distributional Semantics and Language Models
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Excursion 8 Distributional Semantics and Language Models
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6.2 Knowledge Graph Embeddings
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6.2 Knowledge Graph Embeddings
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6.3 Knowledge Graph Completion
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6.3 Knowledge Graph Completion
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6.4 Knowledge Graphs and Language Models
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6.4 Knowledge Graphs and Language Models
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6.5 Semantic Search
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6.5 Semantic Search
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6.6 Exploratory Search and Recommender Systems
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6.6 Exploratory Search and Recommender Systems
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Hands-On 6.1 NetworkX
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Hands-On 6.2 AmpliGraph
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6.7 Weekly Assignment
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