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Award for Prof. Dr. Axel Ngonga 
Photo: Next Einstein Forum Show image information

Award for Prof. Dr. Axel Ngonga Photo: Next Einstein Forum

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.


CONDOR: Dynamic Planning for Link Discovery

| Source code: The provision of links between knowledge bases is one of the core principles of Linked Data. With the growth of the number and the size of RDF datasets comes an increasing need for scalable solutions...

LIMES 1.3.0 Released

| The LIMES development team is happy to announce LIMES 1.3.0! LIMES is a link discovery framework for the Web of Data, which implements time-efficient approaches for large-scale link discovery based on the characteristics of metric spaces. Our...

Handling wrong segmentations in NER tools

| We are happy to announce that our paper, “Characterizing Mention Mismatching Problems for Improving Recognition Results”, was accepted at the 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS2017)....


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+49 5251 60-3342
+49 5251 60-3436

Office hours:

Tuesday, 4pm-5pm

Simone Auinger

Data Science

Simone Auinger
+49 5251 60-1764
+49 5251 60-3436
O 4.113

Office hours:

mornings (Mondays - Thursdays)

The University for the Information Society