Institute of Data Science Scientific Data Management Teaching
Scientific Data Management & Knowledge Graphs WS23-24

Scientific Data Management & Knowledge Graphs

The lectures and the exercises are taught in English.

Schedule:

Lectures: Friday, 11:00 - 12:30 (3702-031) (e-Classroom, Schneiderberg 32)

Exercises: Friday, 14:00 - 15:30 (3408-010) (MZ2, Appelstr. 9a)

Course Content:

2 - (20.10.23)

Data Graphs and RDF

3 - (27.10.23)

Knowledge Graphs and Standards for Query Processing

4 - (03.11.23)

Semantic Data Modeling 

5 - (10.11.23)

Standards for Knowledge Representation (RDFS and OWL)

6 - (17.11.23) 

Standards for Knowledge Representation (RDFS and OWL)

7 - (24.11.23)

Standards for Knowledge Graph Representation (OWL)

8 - (01.12.23)

Knowledge Graph Design Methodologies

9 - (08.12.23) (Online)

Knowledge Graph Creation & Enrichment

10 - (15.12.23)

Integrity Constraints and Validations

11 - (22.12.23) (Online)

Integrity Validations and Knowledge Graphs in Practice

12 - (12.01.24)

Knowledge Graphs in Practice

13 - (19.01.24)

Symbolic Learning and Knowledge Graph Embeddings 

14 - (26.01.24)

Knowledge Graph Embeddings and Future Directions

 Literature:

  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:

(tentative) on 14.03.2024 from 16.00 to 18.00 

Room E001 - Building 1101; Welfengarten 1 


Instructors & Tutors

Prof. Dr. Maria-Esther Vidal
Professor
Email
Address
Postal address: Welfengarten 1B, 30167 Hannover
Visiting address: Lange Laube 28, 30159 Hannover
Prof. Dr. Maria-Esther Vidal
Professor
Address
Postal address: Welfengarten 1B, 30167 Hannover
Visiting address: Lange Laube 28, 30159 Hannover

M.Sc. Philipp D. Rohde
Tutor
Email
Address
Postanschrift: Welfengarten 1 B, 30167 Hannover
Adresse für Besucher: Lange Laube 28, 30159 Hannover
M.Sc. Philipp D. Rohde
Tutor
Address
Postanschrift: Welfengarten 1 B, 30167 Hannover
Adresse für Besucher: Lange Laube 28, 30159 Hannover