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About openHPI
Channels
AI Service Center
clean-IT
Design Thinking
openHPIschool
Learn
Menu
About openHPI
Channels
AI Service Center
clean-IT
Design Thinking
openHPIschool
Learn
About openHPI
English
Deutsch
English
Log in
Self-paced course
Information Service Engineering
Offered by Prof. Dr. Harald Sack, Dr. Maria Koutraki
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3.7 Logical Inference with RDF(S)
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Overview
Week 1
Week 2
Week 3
3.0 Lecture Overview
Learning Material
3.1 Understanding Data on the Web
3.1 Understanding Data on the Web
3.2 Towards a Universal Data Representation
3.2 Towards a Universal Data Representation
3.3. - How to Identify and Access Linked Data
3.3. How to Access and Identify Linked Data
3.3. How to Access and Identify Linked Data - Hands On
3.4 Representing Facts with RDF
3.4. Representing Facts with RDF
3.5 RDF Turtle Serialization
3.5 RDF Turtle Serialization
3.6 Model Building with RDFS
3.6 Model Building with RDFS
3.7 Logical Inference with RDF(S)
3.7 Logical Inference with RDF(S)
Week 3 Bonus Quiz
3.8 Weekly Assigment
Discussions
Week 4
Week 5
Week 6
Final Examination