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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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Rita Torres de Sousa
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Shashank Agnihotri
Katharina Prasse
Keyvan Amiri Elyasi
Darshit Pandya
Alexander Beier
Patrick Betz
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Andreea Iana
Jakob Kappenberger
Christopher Klamm
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Fabian David Schmidt
Sotaro Takeshita
Simon Forbat
Julia Gastinger
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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
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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
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Praktische Informatik II
SM 445 Data and Web Science Seminar
SM 451 Seminar Ethical AI
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Einführung in Data Science
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Wirtschaftsinformatik für WiPäds
Wirtschaftsinformatik für BaKuWis
KI Seminar
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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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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).
Paper Accepted at IEEE Transactions on Smart Grid
The paper “Real-Time Smart Charging Based on Precomputed Schedules” by Oliver Frendo, Nadine Gärtner and Heiner Stuckenschmidt has been accepted by IEEE Transactions on Smart Grid (Impact Factor 7.364)
Paper accepted at SemEval 2019: Unsupervised Frame Induction using Contextualized Word Embeddings
The paper “HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings” by Saba Anwar, Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, Simone Paolo Ponzetto, and Alexander Panchenko has been accepted for publication at SemEval 2019. Abstract: We present our ...
Article accepted at Computational Linguistics: Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction
The article “Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction” by Dmitry Ustalov, Alexander Panchenko, Chris Biemann, and Simone Paolo Ponzetto has been accepted for publication at the Computational Linguistics (CL) journal by MIT Press. Abstract: We present a ...
Article accepted at ACM TODS: A Unified Framework for Frequent Sequence Mining with Subsequence Constraints
The article „A Unified Framework for Frequent Sequence Mining with Subsequence Constraints“ by Kaustubh Beedkar, Rainer Gemulla und Wim Martens has been accepted for publication in ACM Transactions on Database Systems (TODS). Abstract: Frequent sequence mining methods often make use of constraints ...
Graeme Hirst is Visiting Professor at the DWS Group
Prof. Graeme Hirst from the University of Toronto is visiting the DWS Group during March. Graeme is well known for his work on natural language processing. He will work with PhD students from the AI and the NLP Area on advanced methods for argumentation analysis in natural language texts. For more ...
Paper accepted at ICDE 2019: Scalable Frequent Sequence Mining With Flexible Subsequence Constraints
The paper „Scalable Frequent Sequence Mining With Flexible Subsequence Constraints“ by Alexander Renz-Wieland, Matthias Bertsch, and Rainer Gemulla has been accepted at the 2019 IEEE International Conference on Data Engineering (ICDE). Abstract: We study scalable algorithms for frequent sequence ...
31.5 billion quads Microdata, Embedded JSON-LD, RDFa, and Microformat data originating from 9.6 million websites published
The DWS group is happy to announce the new release of the WebDataCommons Microdata, JSON-LD, RDFa and Microformat data corpus. The data has been extracted from the November 2018 version of the Common Crawl covering 2.5 billion HTML pages which originate from 32 million websites (pay-level domains).
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