Skip to main navigation
Skip to page content
Skip to footer
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
Dr. Pedro Ortiz Suarez
Dr. Federico Nanni
Fabian David Schmidt
Affiliated PhD Students
Dr. Anna Primpeli
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
Dr. Kilian Theil
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 560 Large-Scale Data Management
CS 720 Seminar on Uncertainty Estimations
IE 500 Data Mining
IE 560 Decision Support
IE 650 Knowledge Graphs
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 675b Machine Learning
IE 678 Deep Learning
IE 689 Relational Learning
CS 460 Database Technology
CS 704 Artificial Intelligence Seminar
CS 704 Social Simulation Seminar
CS 709 Text Analytics Seminar
CS 710 Seminar on Explainable Artificial Intelligence
CS 707 Data and Web Science Seminar
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
Courses for Bachelor Candidates
Praktische Informatik II
Einführung in Data Science
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: Natural Language Processing, Research
Jan Portisch has defended his PhD thesis
Jan Portisch has successfully defended his PhD thesis titled “Exploiting General-Purpose Background Knowledge for Automated Schema Matching” on August 25th.
Lea Cohausz receives Best Paper Award at EDM 2022
Lea Cohausz has received an award for the best student shart paper at the 15th International Conference on Educational Data Mining for her work on “Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science”. Congratulations! ...
Anna Primpeli has successfully defended her PhD Thesis
Anna Primpeli has successfully defended her PhD thesis titled “Reducing the Labeling Effort for Entity Resolution using Distant Supervision and Active Learning” today.
Paper accepted in ECML-PKDD 2022: Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
The paper “Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings” by Adrian Kochsiek, Fritz Niesel, and Rainer Gemulla has been accepted at the 2022 ECML-PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in ...
Team WBSG wins ACM SIGMOD Programming Contest 2022
We are happy to announce that team WBSG consisting of the PhD students Alexander Brinkmann and Ralph Peeters has won the ACM SIGMOD Programming Contest 2022. Altogether 55 teams from all over the world participated in the contest.
Two Papers accepted for IJCAI 2022
We are happy that the following papers have been accepted for the 31st International Joint Conference on Artificial Intelligence July 23-29, 2022 in Vienna (Acceptance Rate: 15%): Patrick Betz, Christian Meilicke and Heiner Stuckenschmidt: “Adversarial Explanations for Knowledge Graph Embeddings” ...
Paper Accepted for the “Information Systems” Journal
We are happy to announce that the paper “Exploiting Label Semantics for Rule-based Activity Recommendation in Business Process Modeling” by Diana Sola, Han van der Aa, Christian Meilicke and Heiner Stuckenschmidt has been accepted for the “Information Systems” Journal ( The paper can be found at: ...
Two Papers accepted at ESWC 2022
We are happy to announce that the papers “Impact of the Characteristics of Multi-Source Entity Matching Tasks on the Performance of Active Learning Methods” by Anna Primpeli and Christian Bizer and the paper “Supervised Knowledge Aggregation for Knowledge Graph Completion” by Patrick Betz, Christian ...
Paper accepted in SIGMOD 2022: NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
The paper “NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access” by Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, and Volker Markl has been accepted at the 2022 ACM SIGMOD International Conference on Management of Data. Abstract: Parameter servers (PSs) ...
Paper accepted in PVLDB 2022: Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques
The paper “Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques” by Adrian Kochsiek and Rainer Gemulla has been accepted at the 2022 Proceedings of the VLDB Endowment (PVLDB). Abstract: Knowledge graph embedding (KGE) models represent the entities and relations of a ...
Tracking cookies are currently allowed.
Do not allow tracking cookies
Tracking cookies are currently not allowed.
Allow tracking cookies