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Aktuelles

Metadata Provenance Workshop at Semantic Web in Libraries Conference

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Best Paper Awards at TPDL 2012

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Open PostDoc and PhD Position on Web Data Integration in the EU Project LOD2

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SEALS mission accomplished

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RR and ReasoningWeb 2013 in Mannheim

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Best Paper Award at ECEIS 2012

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Google Research Award for Mathias Niepert!

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Welcome to the webpages of the Research Group Data and Web Science.

Offers for Researchers

The Research Group Data and Web Science conducts research on methods for managing, integrating and mining large-amounts of heterogeneous information within enterprise and open Web contexts. The group is divided in three focus areas Artificial Intelligence, Web-based Systems and Media Informatics. Details on the results of our research can be found in conference and journal papers available on the publications page. We are involved in several national and international projects and cooperate with partners from industry, research institutes and other universities. As a special service, we support researchers from economic and social science in projects that require data mining and data cleansing techniques.

Offers for Companies

Beside fundamental research activities, we also focus on applied research and technology transfer. In this area we closely cooperate with partners from industry. Amongst other activities we are also involved in the Institute for Enterprise Systems and participate in the Commit Initiative.

Offers for Students

We offer regular courses for bachelor and master students related to the topics knowledge modeling, knowledge engineering, and knowledge managment. It is also possible to write a bachelor or master thesis related to the research topics of our group. Excellent alunmni can also graduate at our group to achieve a PhD. Further, we are searching for motivated students to work as research assistant within our group.

Information for

  • Students
  • Researcher
  • Companies

Links

  • Fakultt fr Wirtschaftsinformatik und Wirtschaftsmathematik
  • Institut fr Enterprise Systems
  • Forschungsdaten Service
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