Learning Material

This page collects all learning materials for the lecture. Please prepare for each lecture with watching the respective videos on openHPI.

Introduction (20.10.2015)

Lecture 1 – Knowledge Engineering and the Web of Data (27.10.2015)

Exercise 1

Lecture 2 – RDF Based Knowledge Engineering (03.11.2015)



Exercise 2


Lecture 3 – RDF Based Knowledge Engineering(2) (10.11.2015)

Lecture 4 – Ontologies and Logic (17.11.2015)

Exercise 4


Lecture 5 – Tableaux Algorithm, Description Logics, DL Reasoning Problems, OWA (24.11.2015)

Exercise 5


Lecture 6 – Tableaux (DL), Canonical forms, Resolution (PL/FOL), History of Ontologies (01.12.2015)

Exercise 6


Lecture 7 – OWL and RDF(S) Semantics Basics(08.12.2015)

Exercise 7


Lecture 8 – Rules, Prot├ęge, RDF(S) semantics (15.12.2015)

Exercise 8


Lecture 9 – SWRL, Rules, Ontology Engineering, Ontology Design and Ontology Learning (05.01.2016)

Exercise 9


Lecture 10 – Ontology Alignment, Ontology Evaluation, More Ontology Design Methodologies (12.01.2016)

Exercise 10


Lecture 11 – Linked Data Engineering, Linked Data Programming, Semantic Annotation (19.01.2016)

Exercise 11


Lecture 12 – Named Entity Resolution, Semantic Search, Exploratory Search (26.01.2016)
[Attention: Lab Course 12 and Lecture 12 are switched this week! cf. Blog post]

Exercise 12


Lecture 13 – Linked Data Analytics, Semantic Recommendations (02.02.2016)

Exercise 13

1 comment:

  1. Syntax Highlighting for Sublime: https://github.com/abcoates/sublime-text-turtle-sparql/

    ReplyDelete