Skip to main content Skip to main navigation



Smart Data Web

Smart Data Web

  • Duration:

The goal of "Smart Data Web" is to to provide a bridge between publicly available information on the web and the internal information worlds of companies. For businesses it is important to be promptly informed about events that could lead to major disruptions, for example natural disasters, political unrest, strikes or supplier breakdowns. But many other developments exterior to the internal operation are also of high interest, e.g. new technologies, regulations, products by competitors. By automatically combinig public data streams, i.e. news websites or social media channels, with company internal data, production companies will be able to react faster and more securely to changes. Smart Data Web develops novel types of knowledge graphs that meaningfully link public and company data to enable the intelligent selection and analysis of business-relevant information. The information gained from this newly created knowledge graph can help businesses to significantly optimize their planning and decision processes, e.g. in supply chain management. Another key area of the Smart Data Web project is market research.

The DFKI is the coordinator of the joint research project. Partners are the Beuth University of Applied sciences, the University of Leipzig, the uberMetrics Technologies GmbH, the VICO Research&Consulting GmbH, and the Siemens AG.


  • Beuth Hochschule für Technik
  • Universität Leipzig
  • uberMetrics GmbH
  • VICO Research&Consulting GmbH
  • Siemens AG


BMWi - Federal Ministry for Economic Affairs and Energy


BMWi - Federal Ministry for Economic Affairs and Energy

Publications about the project

Leonhard Hennig; Hans Uszkoreit

In: Börteçin Ege; Adrian Paschke. Semantische Datenintelligenz im Einsatz. Pages 87-126, ISBN 978-3-658-31938-0, Springer Vieweg, 2021.

To the publication

Robert Schwarzenberg; Leonhard Hennig; Holmer Hemsen

In: Springer Lecture Notes in Artificial Intelligence. Conference of the German Society for Computational Linguistics and Language Technology (GSCL-2017), September 13-14, Berlin, Germany, Springer International Publishing, 1/2018.

To the publication