Scientific Data Management & Knowledge Graphs

Die Vorlesungen und die Übungen werden auf Englisch unterrichtet.

Stundenplan:

Vorlesung: Freitags von 11:00 bis 12:30 (3702-031) (e-Classroom, Schneiderberg 32)

Übung: Freitags von 14:00 bis 15:30 (3408-010) (MZ2, Appelstr. 9a)

Kursinhalt:

• Data Graphs and RDF

• Knowledge Graphs and Standards for Query Processing

• Semantic Data Modeling 

• Standards for Knowledge Representation (RDFS and OWL)

• Knowledge Graph Design Methodology

• Knowledge Graph Creation & Enrichment 

• Ontologies, Knowledge Graphs, and Integrity Constraints

• Deductive Data and Knowledge Bases 

• Publication of Knowledge Graphs

• Knowledge Graphs in Practice

• Symbolic Learning and Knowledge Graph Embeddings 

• Knowledge Graph Embeddings and Future Directions

Vorstellung von Fachliteratur:

1. Knowledge Graphs. By Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutiérrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann. Synthesis Lectures on Data, Semantics, and Knowledge, Morgan & Claypool Publishers 2021 

2. Knowledge Graphs: Fundamentals, Techniques, and Applications. By Mayank Kejriwal, Craig A. Knoblock and Pedro Szekely. The MIT Press 2021. ISBN 9780262045094. 

3. Design and Building Enterprise Knowledge Graphs. Juan Sequeda and Ora Lassila. Synthesis Lectures on Data, Semantics, and Knowledge, Morgan & Claypool Publishers 2021 

4. Fundamental of Database Systems. Ramez Elsmasri,Shamkant Navathe. 7th Edition. Pearson Education. 2016

Exam:

Klausur  
(vorläufig) am 16.03.2023 von 16.00 bis 18.00 
Raum E214 - Gebäude 1101; Großer Physiksaal - Welfengarten 1