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Prof. Dr. Christian Bizer
Prof. Dr. Rainer Gemulla
Prof. Dr.-Ing. Margret Keuper
Prof. Dr. Heiko Paulheim
Prof. Dr. Simone Paolo Ponzetto
Prof. Dr. Heiner Stuckenschmidt
Prof. Dr. Philipp Kellmeyer
Dr. Sven Hertling
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Daniel Ruffinelli
Dr. Ines Rehbein
Dr. Ioana Hulpus
Dr. Melisachew Wudage Chekol
Dr. Christian Meilicke
Dr. Federico Nanni
Rita Torres de Sousa
PhD Students
Shashank Agnihotri
Katharina Prasse
Keyvan Amiri Elyasi
Darshit Pandya
Alexander Beier
Patrick Betz
Alexander Brinkmann
Samuel Broscheit
Lea Cohausz
Chia-Chien Hung
Andreea Iana
Jakob Kappenberger
Christopher Klamm
Adrian Kochsiek
Keti Korini
Franz Krause
Steffen Jung
Alexander Kraus
Robert Litschko
Ralph Peeters
Ines Reinig
Michael Schlechtinger
Fabian David Schmidt
Sotaro Takeshita
Simon Forbat
Julia Gastinger
Affiliated PhD Students
Patrick Müller
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Dr. Nicolas Heist
Prof. Dr. Paul Swoboda
Dr. Pedro Ortiz Suarez
Dr. Sarah Alturki
Dr. Jovita Lukasik
Dr. Amirhossein Kardoost
Kiril Gashteovski
Prof. Dr. Goran Glavaš
Dr. Anna Primpeli
Dr. Anne Lauscher
Dr. Taha Alhersh
Dr. Jakob Huber
Dr. Jonathan Kobbe
Dr. Timo Sztyler
Dr. Dmitry Ustalov
Dr. Oliver Lehmberg
Dr. Yaser Oulabi
Alexander Diete
Dr. Kilian Theil
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)
Computer Vision & Machine Learning (Prof. Dr.-Ing. Margret Keuper)
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Context Matters
CosPGD
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Course Details
Courses for Master Candidates
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
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 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
Data Analytics Team Project – Your Project, Your Team
Colloquium
Team Projects
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FSS 2024
HWS 2023
FSS 2023
HWS 2022
FSS 2022
HWS 2021
SM 445/
CS 707 Data and Web Science Seminar
FSS 2021
HWS 2020
FSS 2020
HWS 2019
HWS 2018
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Courses for Bachelor Candidates
Praktische Informatik II
SM 445 Data and Web Science Seminar
SM 451 Seminar Ethical AI
Wirtschaftsinformatik II
Einführung in Data Science
Künstliche Intelligenz
Wirtschaftsinformatik für WiPäds
Wirtschaftsinformatik für BaKuWis
KI Seminar
Course Archive
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HWS 2023
FSS 2023
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FSS 2022
HWS 2021
FSS 2021
HWS 2020
FSS 2020
HWS 2019
FSS 2019
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FSS 2018
HWS 2017
Courses for PhD Candidates
Colloquium FSS2023
Computational Text Analysis
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University of Mannheim
Data and Web Science Group
News-Archiv
DWS Area: Natural Language Processing, Research
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Paper accepted for TKDE Journal
The Paper “POLARIS: Probabilistic and Ontological Activity Recognition in Smart-homes” by Claudio Bettini, Gabriele Civitarese, Daniele Riboni, Heiner Stuckenschmidt and Timo Sztyler has been accepted for IEEE Transactions on Knowledge and Data Engineering (Impact Factor 3.857)
Best Paper Award at WIMS 2019
The paper “Robust Active Learning of Expressive Linkage Rules” by Anna Primpeli and Christian Bizer has won the best paper award at the 9th International Conference on Web Intelligence, Mining and Semantics (WIMS) in South Korea.
Best Student Paper Award at LDK 2019
Joint work with our colleagues from the University of Heidelberg in the contex of the Explain Project entitled “Exploiting Background Knowledge for Argumentative Relation Classification” by Jonathan Kobbe, Juri Opitz, Maria Becker, Ioana Hulpus, Anette Frank and Heiner Stuckenschmidt has won the ...
Christian Bizer gives Keynote at LDK 2019
Prof. Christian Bizer has given the keynote speech at the Language Data and Knowledge (LDK 2019) conference in Leipzig Germany.
OPIEC open information extraction corpus & accompanying AKBC 2019 paper released
We have released the OPIEC open information extraction corpus; its accompanying article „OPIEC: An Open Information Extraction Corpus“ by Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, and Rainer Gemulla has been accepted for publication at Automated Knowledge Base ...
Four DWS papers accepted for ACL 2019!
Four DWS papers have been accepted for ACL (57th Annual Meeting of the Association for Computational Linguistics), the most prestigious conference in the area of natural language processing (NLP)!
Two Papers Accepted for IJCAI 2019
The Papers “Anytime Bottom-Up Rule Learning for Knowledge Graph Completion” by Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli and Heiner Stuckenschmidt and “PRoFET: Predicting the Risk of Firms from Event Transcripts” by Christoph Kilian Theil, Samuel Broscheit and Heiner ...
Article accepted at Datenbank Spektrum
The article „Using the Semantic Web as a Source of Training Data“ by Christian Bizer, Anna Primpeli, Ralph Peeters has been accpeted for the upcoming special issue on “Data and Repeatability” of Datenbank Spektrum.
Paper Accepted for Pervasive and Mobile Computing Journal
The Paper “newNECTAR: Collaborative active learning for knowledge-based probabilistic activity recognition” by Gabriele Civitarese, ClaudioBettini, TimoSztyler, DanieleRiboni, and HeinerStuckenschmidt has been accpeted for Pervasive and Mobile Computing (Impact Factor 2.974)
Paper Accepted at European Journal on Operational Research
The joint paper with the Chair of Logistics and Supply Chain Management “A Data-Driven Newsvendor Problem: From Data to Decision” by Jakob Huber, Sebastian Müller, Moritz Fleischmann and Heiner Stuckenschmidt has been accepted for the European Journal on Operational Research (Impact Factor 3.428).
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