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Prof. Dr. Han van der Aa
Prof. Dr. Christian Bizer
Prof. Dr. Rainer Gemulla
Prof. Dr. Goran Glavaš
Prof. Dr. Simone Paolo Ponzetto
Prof. Dr. Heiko Paulheim
Prof. Dr. Heiner Stuckenschmidt
Postdoctoral Research Fellows
Dr. Tobias Weller
Dr. Ines Rehbein
Dr. Ioana Hulpus
Dr. Melisachew Wudage Chekol
Dr. Christian Meilicke
Pedro Ortiz Suarez
Dr. Federico Nanni
Fabian David Schmidt
Affiliated PhD Students
Dr. Anne Lauscher
Prof. Dr.-Ing. Margret Keuper
Dr. Taha Alhersh
Dr. Jakob Huber
Dr. Timo Sztyler
Dr. Dmitry Ustalov
Dr. Oliver Lehmberg
Dr. Yaser Oulabi
Web-based Systems (Prof. Bizer)
Data Analytics (Prof. Gemulla)
Web Data Mining (Prof. Paulheim)
Natural Language Processing and Information Retrieval (Prof. Ponzetto)
Artificial Intelligence (Prof. Stuckenschmidt)
Master Thesis Topics in Artificial Intelligence
Process Analytics (Prof. Van der Aa)
MMDS Industry Partner Network
Courses for Master Candidates
Data Analytics Team Project – Your Project, Your Team
CS 720 Seminar on Uncertainty Estimation
IE 500 Data Mining
IE 560 Decision Support
IE 650 Semantic Web Technologies
IE 661 Text Analytics
IE 663 Information Retrieval and Web Search
IE 670 Web Data Integration
IE 671 Web Mining
IE 672 Data Mining 2
IE 676 Network Analysis
IE 678 Deep Learning
IE 689 Relational Learning
CS 460 Database Technology
CS 704 Social Simulation Seminar
CS 707 Data and Web Science Seminar
CS 709 Text Analytics Seminar
CS 710 Seminar on Explainable Artificial Intelligence
CS 715: Large-Scale Data Integration Seminar
CS 718 AI and Data Science in Fiction and Society
CS 719 Process Analysis Seminar
IE 692 Advanced Process Mining
CS 707 Data and Web Science Seminar
Courses for Bachelor Candidates
Praktische Informatik II
Wirtschaftsinformatik für WiPäds
Wirtschaftsinformatik für BaKuWis
Courses for PhD Candidates
Computational Text Analysis
Uni Mannheim Process Mining Meet-ups
University of Mannheim
Data and Web Science Group
DWS Area: Data Science
Paper accepted at ISWC 2021
Our paper “Background Knowledge in Schema Matching: Strategy vs. Data” has been accepted at the 20th International Semantic Web Conference. The paper has been co-authored by Jan Portisch, Michael Hladik, and Heiko Paulheim. In the paper, we have conducted a number of controlled experiments with ...
Paper accepted at PAAMS
The paper “Winning at Any Cost – Infringing the Cartel Prohibition With Reinforcement Learning” was accepted at the 19th International Conference on Practical Applications of Agents and Multi-Agent Systems.
Paper accepted at JCDL
The paper “GraphConfRec: A Graph Neural Network-Based Conference Recommender System”, co-authored by Andreea Iana and Heiko Paulheim, has been accepted for publication at the ACM/
IEEE Joint Conference on Digital Libraries. In the paper, we explore the usage of modern graph neural network based ...
Best Demo Award at ESWC 2021
Earlier this year, we introduced kgextension, the Python extension for processing knowledge graphs. With this extension, data analysts can easily link their data at hand to both public and private knowledge graphs, and add the wealth of public knowledge graphs such as Wikidata to their data ...
Paper on Large-Scale Dataset Collection from Twitter accepted
Our paper “Collecting a Large Scale Dataset for Classifying Fake News Tweets Using Weak Supervision” has been accepted for publication in Future Internet.
CaLiGraph version 2.0 released
CaLiGraph is an open knowledge graph extracted from categories, tables, and listings in Wikipedia.
Paper on Web Table Classification accepted at ICWE 2021
Our paper “Web Table Classification based on Visual Features” has been accepted at the International Conference on Web Engineering.
Knowledge Graph Extension for Python
A team of DWS students has developed a Knowledge Graph extension for Python.
Paper accepted at The Web Conference 2021
Our paper “Information Extraction From Co-Occurring Similar Entities” has been accepted at The Web Conference 2021.
Job Offer: PostDoc Position in Machine Learning on Knowledge Graphs (m/
The Data and Web Science Group at University of Mannheim has a job opening at the Chair for Data Science for a PostDoc in the H2020 project Teaming.AI, which explores the cooperation of humans and AIs in Smart Manufacturing settings. For this project, we are looking for a PostDoc to work on the ...
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