LAMBDA lectures have been categorized into eight modules:

  1. Artificial Intelligence (4 lectures),
  2. Survey (3 lectures),
  3. Foundations (3 lectures),
  4. Enterprise Knowledge Graphs (4 lectures),
  5. Semantic Big Data Architectures (7 lectures),
  6. Big Data and Knowledge Graphs Tools (4 lecture),
  7. Smart Data Analytics (5 lectures), and
  8. Case Studies (5 lectures).

#

Lecture

Institute

Contributed By

Availability

Artificial Intelligence

1

Data for AI: Foresight

Fraunhofer

Simon Scerri

Video, PPT

2

AI and Knowledge Graphs

UOXF

Emanuel Sallinger

PPT

3

Conversational AI

Fraunhofer

Jens Lehmann

Video

4

The Revolution of AI

Fraunhofer

Stefan Wrobel

Video

Survey

5

Survey on Big Data Tools

PUPIN

Marko Jelić, Dea Pujić

Paper, PPT

6

Overview and Comparison of Machine Learning Algorithms

PUPIN

Dea Pujić, Marko Jelić

Paper

7

Survey on Big Data Applications

PUPIN

Valentina Janev

Chapter-Book

Foundations

8

Big Data Ecosystem

PUPIN

Valentina Janev

Chapter-Book

9

Introduction to Knowledge Graphs

UOXF

Emanuel Sallinger, Luigi Bellomarini, Sahar Vahdati

Chapter-Book

10

Big Data Outlook, Tools, and Architectures

UBO

Hajira Jabeen

Chapter-Book

Enterprise Knowledge Graphs

11

What is Knowledge Graph?

Fraunhofer

Mikhail Galkin

Video

12

Introduction to Knowledge Graphs

UOXF

Emanuel Sallinger, Luigi Bellomarini, Sahar Vahdati

Chapter-Book

13

Creation of Knowledge Graphs

 

 

Chapter-Book

14

Extraction for Knowledge Graphs

UOXF

Tim Furche

Paper

15

Swift Logic for Big Data and Knowledge Graphs

UOXF

Georg Gottlob

Paper, Video

Semantic Big Data Architectures

16

Reasoning in Knowledge Graphs

UOXF

Georg Gottlob

Video

17

Introduction to Big Data Architecture

Fraunhofer, UBO

Damien Graux, Hajira Jabeen

PPT

18

Big Data Solutions in Practical Use-cases

Fraunhofer, UBO

Damien Graux, Hajira Jabeen

PPT

19

Distributed Big Data Frameworks

UBO, Fraunhofer

Hajira Jabeen, Damien Graux

PPT

20

Data Lakes and Federated Query Processing

Fraunhofer

Damien Graux, Hajira Jabeen

Chapter-Book

Smart Data Analytics

20

Distributed Big Data Libraries

UBO, Fraunhofer

Hajira Jabeen, Damien Graux

PPT

21

Distributed Semantic Analytics I

UBO, Fraunhofer

Damien Graux, Hajira Jabeen

Chapter-Book

22

Distributed Semantic Analytics II

UBO, Fraunhofer

Damien Graux, Hajira Jabeen

PPT, Other

23

SANSA - Scalable Semantic Analytics Stack

UBO

Hajira Jabeen, Damien Graux

Paper, Other

24

Scalable Knowledge Graph Processing using SANSA

UBO, Fraunhofer

Hajira Jabeen, Damien Graux

Chapter-Book

Big Data and KGs Tools

25

Context-Based Entity Matching for Big Data

Fraunhofer

Diego Colarana

Chapter-Book

26

Vadalog System

UOXF

Emanuel Sallinger

Paper

27

Data Science with Spark and Hadoop

UBO

Hajira Jabeen

Video

28

Spark using Scala

UBO

Hajira Jabeen

Video

Case Studies

29

Semantic Information Infrastructures from Business Information Delivery to Water Management

 

Mariana Damova

Video

30

Soft computing for Transparent synthesis of Geo Big Data

 

Gloria Bordogna

Video

31

Chronorobotics - Spatio-temporal models for social and service robots

 

Tom Krajnik

Video

32

IntelliSys: Intelligent System for Road Safety

 

Debasis Das

Video

33

Reasoning on Financial Knowledge Graphs: The Case of Company Networks

UOXF

Luigi Bellomarini

PPT

34

Embedding-based Recommendations on Scholarly Knowledge Graphs

UOXF, UBO, Fraunhofer

Sahar Vahdati

Video, Paper

35

Open and Big Data – Utilization Perspective

PUPIN

Valentina Janev

PPT

36

Data Analytics for Energy Sector

PUPIN

Dea Pujić

Marko Jelić

Paper, Chapter-Book

37

 

Predictive Analytics in Renewable Energy Systems

 

PUPIN

Dea Pujić

Marko Jelić

 

Teaching activities relevant for the project (University of Bonn)

Teaching activities relevant for the project (University of Oxford)