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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Workshop for schoolgirls

The Paderborn University's AutumnUni (HerbstUni) is a STEM project for schoolgirls aged 14 to 16 years. For five days, the students attend lectures and workshops. The...

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At the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW), René Speck will present his research “On Extracting Relations using Distributional Semantics and a Tree...

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Currently the German Federal Computer Science Competition (“Bundeswettbewerb Informatik”) [ follow the link for more information: https://bwinf.de/bundeswettbewerb/der-36-bwinf/endrunde/ ] is in its...

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DBpedia Chatbot is a conversational agent for DBpedia which is capable of responding to users in the form of simple short text messages or through more elaborate interactive messages. It can be...

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We are organizing a joint workshop, NLIWOD4 and QALD-9, in the domain of interaction paradigms to Linked Data at the 17th International Semantic Web Conference (ISWC) on 9th October 2018 in Monterey,...

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The LIMES development team is happy to announce LIMES 1.5.0! LIMES is a link discovery framework for the Web of Data, which implements time-efficient approaches for large-scale link discovery. While...

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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: O4.213
Simone Auinger
phone: +49 5251 60-1764
fax: +49 5251 60-3436
e-mail: mone(at)upb.de
office: O 4.113