DWS Research

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).

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)

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 ...

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).