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Professors
Prof. Dr. Han van der Aa
Prof. Dr. Paul Swoboda
Prof. Dr. Christian Bizer
Prof. Dr. Rainer Gemulla
Prof. Dr. Simone Paolo Ponzetto
Prof. Dr. Heiko Paulheim
Prof. Dr. Heiner Stuckenschmidt
Researchers
Postdoctoral Research Fellows
Dr. Ines Rehbein
Dr. Ioana Hulpus
Dr. Melisachew Wudage Chekol
Dr. Christian Meilicke
Dr. Pedro Ortiz Suarez
Dr. Federico Nanni
PhD Students
Darshit Pandya
Sarah Alturki
Alexander Beier
Patrick Betz
Alexander Brinkmann
Samuel Broscheit
Lea Cohausz
Nicolas Heist
Sven Hertling
Chia-Chien Hung
Andreea Iana
Jakob Kappenberger
Christopher Klamm
Adrian Kochsiek
Keti Korini
Franz Krause
Steffen Jung
Amirhossein Kardoost
Jonathan Kobbe
Alexander Kraus
Robert Litschko
Jovita Lukasik
Ralph Peeters
Adrian Rebmann
Ines Reinig
Daniel Ruffinelli
Michael Schlechtinger
Fabian David Schmidt
Sotaro Takeshita
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Kiril Gashteovski
Prof. Dr. Goran Glavaš
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
Alexander Diete
Dr. Kilian Theil
Student Assistants
Stefan Morio
Research
Focus Groups
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)
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Course Details
Courses for Master Candidates
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
IE 692 Advanced Process Mining
IE 694 Industrial Applications of Artificial Intelligence
CS 560 Large-Scale Data Management
CS 460 Database Technology
CS 704 Artificial Intelligence Seminar
CS 704 Social Simulation Seminar
CS 704 Seminar on Traffic Simulation & Analysis
CS 707 Data and Web Science Seminar
CS 709 Text Analytics Seminar
CS 710 Seminar on Knowledge Graph Construction
CS 715: Large-Scale Data Integration Seminar
CS 718 AI and Data Science in Fiction and Society
CS 719 Process Analysis Seminar
CS 720 Seminar on Uncertainty Estimations
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CS 707 Data and Web Science Seminar
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Courses for Bachelor Candidates
Praktische Informatik II
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Courses for PhD Candidates
Colloquium FSS2023
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Large Computations
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University of Mannheim
Data and Web Science Group
News-Archiv
DWS Area: Natural Language Processing, Research
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Two Papers Accepted for ECML/
PKDD 2023
We are happy to announce both of our submissions have been accepted for ECML/
PKDD 2023 in Turin,Italy (CORE rank A). “Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting” by Julia Gastlinger, Timo Sztyler, Lokesh Sharma, Anett Schülke and Heiner ...
Paper accepted in Repl4NLP 2023: Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
The paper “Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction” by Adrian Kochsiek, Apoorv Saxena, Inderjeet Nair, and Rainer Gemulla has been accepted at the 2023 Repl4NLP Workshop on Representation Learning for NLP, hosted by ACL 2023. Abstract: We propose KGT5-context, a ...
Paper accepted for SIGIR 2023
The paper “Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives” by Andreea Iana, Goran Glavaš, and Heiko Paulheim has been accepted at the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Abstract: The advent ...
Paper Accepted for PAKDD 2023
We are happy to announce that the paper “Outlying Aspect Mining via Sum-Product Networks” by Stefan Lüdtke, Christian Bartelt und Heiner Stuckenschmidt has been accepted for the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (CORE Rank A, Acceptance Rate 17%).
Open PhD/
Postdoc position in the NLP group
The NLP Group at the University of Mannheim [1] invites applications for ONE PHD/
POSTDOCTORAL RESEARCHER IN NATURAL LANGUAGE PROCESSING Applicants should have a strong (undergraduate/graduate) profile in computer science, NLP, AI, machine learning or a related discipline. Applicants for the ...
New Project on eLearning Innovation at the AI Group
In courses, all participants are usually provided with identical learning materials, regardless of previous knowledge and ability. As part of the project, a recommendation system is to be developed and tested in two different courses, which provides students with additional materials such as ...
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.
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