WELCOME TO

THE DATA SCIENCE GROUP


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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News

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 results of a simple example configuration. This post is...

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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 provides insights into the query plans of federated...

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At the DICE Colloquium on Friday 29th of March, 2019
Denis Kuchelev from DICE presented the paper, “Learning efficient logic programs”
(https://link.springer.com/article/10.1007%2Fs10994-018-5712-6)
...

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At the DICE Colloquium on Friday 15th of March, 2019 we had a paper presentation about querying semantically linked data and the server response.

Hashim Khan presented the paper, Triple Pattern...

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We are happy to announce the release of the second major version of the RDF Dataset Enrichment Framework (DEER)!

This release features an updated configuration vocabulary, shiny new prefixes provided...

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The LIMES development team is happy to announce LIMES 1.5.5!

LIMES is a link discovery framework for the Web of Data, which implements time-efficient approaches to discover links among RDF resources....

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Contact

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

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