We are happy to announce the release of Version 2.0 of the Web Data Commons Product Data Corpus and Gold Standard for Large-Scale Product Matching. The product data corpus consits of 26 million product offers (16 million English language offers) originating from 79 thousand different e-shops. The ...

The first DWS PhD Student Poster Session took place this Tuesday. At the poster session, half of the PhD students of the DWS group presented the current status of their research and got feedback and inspiration for next steps from the DWS professors and the other PhD students. The poster session was ...

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)

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.

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 ...

Prof. Christian Bizer has given the keynote speech at the Language Data and Knowledge (LDK 2019) conference in Leipzig Germany.

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 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)!

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 ...

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.