|MODULBEAUFTRAGTE:R:||Prof. Dr. Maribel Acosta Deibe|
|DOZENT:IN:||Jun.-Prof. Maribel Acosta Deibe|
|FAKULTÄT:||Fakultät für Informatik|
|ANGEBOTEN IM:||jedes Sommersemester|
Vorlesung mit begleitenden Übungen
LERNZIELEIn this lecture, students will learn about the foundations of modelling, querying, publishing,
and reasoning over KGs. The topics will be complemented with exercises and Jupyter Notebooks
(https://jupyter.org/) to show how KG technologies work in practice.
INHALTKnowledge Graphs (KG) allow for representing inter-connected facts or statements annotated
with semantics. In KGs, concepts and entities are typically modeled as nodes while their
connections are modeled as directed and labeled edges, creating a graph. In recent years, KGs
have become core components of modern data ecosystems. KGs, as building blocks of many
Artificial Intelligence approaches, allow for harnessing and uncovering patterns from the data.
Currently, KGs are used in the data-driven business processes of multinational companies
like Google, Microsoft, IBM, eBay, and Facebook. Furthermore, thousands of KGs are openly
available on the web following the Linked Data (https://lod-cloud.net/) principles. The
specific topics covered in the lecture are as follows:
1. Introduction to Knowledge Graphs
2. The Resource Description Framework (RDF)
3. RDF Schema (RDFS)
4. The SPARQL Query Language
5. Semantics of SPARQL
6. Linked Data: Knowledge Graphs and Ontologies on the Web
7. The Web Ontology Language (OWL)
8. Entailment Regimes
9. Reasoning over Knowledge Graphs
10. Property Graphs
11. Knowledge Graph Applications
VORAUSSETZUNGEN CREDITSBestandene Modulabschlussprüfung
EMPFOHLENE VORKENNTNISSEBasic knowledge about the following topics is highly recommended
but not mandatory: Graph theory, set theory, databases, logic.
LITERATUR∙ Aidan Hogan et al. Knowledge Graphs. 2020. https://arxiv.org/pdf/2003.02320.
∙ Andreas Harth. Introduction to Linked Data. (Specific chapters will be provided in the
∙ Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph. Foundations of Semantic Web
Technologies. Chapman and Hall/CRC, 2009.