Important note: We moved to Technologiepark 6, 33100 Paderborn (see Google Maps)

The Data Science (DICE) group develops methods, algorithms and applications for the extraction, integration, storage, querying, access and consumption of large-scale datasets. In contrast to most other groups, DICE focusses on knowledge-driven methods. We hence rely and extend on knowledge representation standards developed for the Semantic Web. The area of application of our research include but are not limited to solutions for federated queries on the Web, knowledge extraction from text and other types of datasets, knowledge integration and fusion, keyword-based search and question answering.

We are dedicated to open-source software and open publications. Have a look at our tool page to find a list of the open-source frameworks we offer. These tools and frameworks implement our innovative approaches to the problems aforementioned and are designed to facilitate their swift integration into industry projects. Our project page gives you an overview of the projects we have worked or are working on. Interested in working with us? Please click here to contact us.

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At the DICE Colloquium on Friday 21st of June, 2019 Daniel Vollmers presented the paper TSE-NER: An Iterative Approach for Long-Tail Entity Extraction...

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Summary: The paper is about the migration of Wikidata (Wikimedia foundation project) to semantic web technologies (RDF, SPARQL). This paper shows the...

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In this tutorial, we learn how to set up DEER in server mode on our local machine and how to use its rich API to execute, observe and gather the...

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Authors: Umair Qudus, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, and Young-Koo Lee

This week’s colloquium was presented on my own article which...

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Prof. Dr. Axel-Cyrille Ngonga Ngomo
head professor
phone: +49 5251 60-3342
fax: +49 5251 60-3436
e-mail: axel.ngonga(at)upb.de
office: TP6.3.106
Simone Auinger
phone: +49 5251 60-1764
fax: +49 5251 60-3436
e-mail: mone(at)upb.de
office: TP6.3.107