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Prof. Dr. Christian Bizer
Prof. Dr. Rainer Gemulla
Prof. Dr.-Ing. Margret Keuper
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Dr. Anne Lauscher
Dr. Taha Alhersh
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Dr. Dmitry Ustalov
Dr. Oliver Lehmberg
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Alexander Diete
Dr. Kilian Theil
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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
Process Analytics (Prof. Van der Aa)
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
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
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SM 445 Data and Web Science Seminar
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University of Mannheim
Data and Web Science Group
News-Archiv
DWS Research
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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 ...
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).
Credit: Anna Logue
WDC Training Dataset and Gold Standard for Large-Scale Product Matching released
The research focus in the field of entity resolution (aka link discovery or duplicate detection) is moving from traditional symbolic matching methods to embeddings and deep neural network based matching. A problem with evaluating deep learning based matchers is that they are rather training data ...
Credit: Anna Logue
Paper accepted at EDBT 2019
Our systems and applications paper Extending Cross-Domain Knowledge Bases with Long Tail Entities using Web Table Data (Yaser Oulabi, Christian Bizer) got accepted at the 22nd International Conference on Extending Database Technology (EDBT 2019), one of the top-tier conferences in the data ...
Credit: Anna Logue
WInte.r Web Data Integration Framework Version 1.3 released
We are happy to announce the release of Version 1.3 of the Web Data Integration Framework (WInte.r). WInte.r is a Java framework for end-to-end data integration. The framework implements a wide variety of different methods for data pre-processing, schema matching, identity resolution, data fusion, ...
André Melo has defended his PhD thesis
André Melo has defended his PhD thesis on “Automatic Refinement of Large-Scale Cross-Domain Knowledge Graphs”, supervised by Prof. Heiko Paulheim. In his thesis, André has developed different methods to improve large-scale, cross-domain knowledge graphs along various dimensions. His contributions ...
Credit: Data Mining Cup / prudsys AG
Mannheim Students Score Second Place at Data Mining Cup
The Data Mining Cup is an annual data mining competition for students from all over the world. Since 2014, students from Mannheim take part in the competition as an integral part of the Data Mining 2 lecture, held by Prof. Paulheim. In the course of the competition, the students have to solve a data ...
JCDL 2018 – Vannevar Bush Best Paper Award
Our paper “Entity-Aspect Linking: Providing Fine-Grained Semantics of Entities in Context” has recently won the Vannevar Bush best paper award at the 2018 Joint Conference on Digital Libraries (JCDL), the top conference in the field of digital libraries! The work, coauthored by Federico Nanni, ...
Credit: Anna Logue
Roche Hypo University Challenge won by DWS-AI
We are happy to announce that Jakob Huber and Timo Sztyler reached the 1st place in the Hypo University Challenge that was hosted by Roche Diabetes Care GmbH and powered by IBM.
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