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Prof. Dr. Christian Bizer
Prof. Dr. Rainer Gemulla
Prof. Dr.-Ing. Margret Keuper
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Prof. Dr. Philipp Kellmeyer
Dr. Sven Hertling
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Keyvan Amiri Elyasi
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Sotaro Takeshita
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Dr. Anna Primpeli
Dr. Anne Lauscher
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Dr. Dmitry Ustalov
Dr. Oliver Lehmberg
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Alexander Diete
Dr. Kilian Theil
Research
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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
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Computer Vision & Machine Learning (Prof. Dr.-Ing. Margret Keuper)
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IE 500 Data Mining
IE 560 Decision Support
IE 661 Text Analytics
DS 203: Responsible AI
IE 650 Knowledge Graphs
IE 663 Information Retrieval and Web Search
IE 670 Web Data Integration
IE 671 Web Mining
IE 675b Machine Learning
IE 686 Large Language Models and Agents
IE 696 Advanced Methods in Text Analytics
IE 672 Data Mining 2
IE 678 Deep Learning
IE 689 Relational Learning
IE 692 Advanced Process Mining
IE 694 Industrial Applications of Artificial Intelligence
CS 460 Database Technology
CS 560 Large-Scale Data Management
CS 646 Higher Level Computer Vision
CS 647 Image Processing
CS 704 Artificial Intelligence Seminar
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CS 704 Seminar on Traffic Simulation & Analysis
CS 707 Data and Web Science Seminar
CS 709 Text Analytics Seminar
CS 710 Seminar on Knowledge Graphs and Large Language Models
CS 715: Seminar on Solving Complex Tasks using Large Language Models
CS 717: Seminar on AI Safety & Robustness
CS 718 AI and Data Science in Fiction and Society
CS 719 Process Analysis Seminar
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Praktische Informatik II
SM 445 Data and Web Science Seminar
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Colloquium FSS2023
Computational Text Analysis
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University of Mannheim
Data and Web Science Group
News-Archiv
DWS Research
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New Project on Machine Learning for Supply Chain Optimization
The KISync research project aims to investigate how methods of artificial intelligence (AI) must be applied to solve the decision problems of different processes in the synchronize operational supply chain planning under the influence of uncertainties. Included is primarily intended to support ...
New Project on AI-based Management of Planning and Construction Documents
The digitization and optimization of active processes in the construction industry using methods of artificial intelligence is of strategic interest for those involved in construction. The aim of this project application is the development of an AI-based system for the semantic classification and ...
SOTAB wins Dataset Track of SemTab Challenge at ISWC 2022
We are happy to announce that the Web Data Commons – Schema.org Table Annotation Benchmark (WDC SOTAB) has won the Dataset Track of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab) at the International Semantic Web Conference 2022.
New Project Funded by German Foundation for Peace Research
The German Foundation for Peace Research funds a new project on hate speech analysis on Twitter.
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” ...
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