Hands-On 1.3 NLP Ambiguities

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Dieses Video gehört zum openHPI-Kurs Knowledge Graphs - Foundations and Applications. Möchten Sie mehr sehen?

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Zur Übersicht

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