Menü
Über openHPI
Channels
AI Service Center
clean-IT
Design Thinking
openHPIschool
Lernen
Deutsch
Deutsch
English
Anmelden
Über openHPI
Channels
AI Service Center
clean-IT
Design Thinking
openHPIschool
Lernen
Menü
Über openHPI
Channels
AI Service Center
clean-IT
Design Thinking
openHPIschool
Lernen
Über openHPI
Deutsch
Deutsch
English
Anmelden
Kurs im Selbststudium
Information Service Engineering
Angeboten von Prof. Dr. Harald Sack, Dr. Maria Koutraki
Bitte aktivieren Sie Javascript in Ihrem Browser!!
f862ffb9-124b-4962-9b35-876ae04e98b2
Lernmaterial
Diskussionen
Fortschritt
Zertifikate
Kursdetails
Ankündigungen
Recap
Toggle navigation
3.2 Towards a Universal Data Representation
You are not enrolled. Please enroll to see this quiz.
Menü ausblenden
Menü ausblenden
Übersicht
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
Diskussionen
Week 4
Week 5
Week 6
Final Examination