DANTE

The DANTE (Detecting and analysing terrorist-related online contents and financing activities) project aims to deliver more effective, efficient, automated data mining and analytics solutions and an integrated system to detect, retrieve, collect and analyse huge amount of heterogeneous and complex multimedia and multi-language terrorist-related contents, from both the Surface and the Deep Web, including Dark nets.

The final goal of the project is to discover, detect, analyse, and monitor potential terrorist-related activities and people, with a special focus on:

  • online raising funds activities
  • propaganda
  • training and disinformation activities

The DANTE framework introduces innovative knowledge mining, information fusion, and automated reasoning techniques and services and provide automated functionalities such as

  • detection and monitoring of sources of relevant terrorist-related data in surface/deep Web, and dark nets;
  • accurate and fast detection, analysis, categorization of suspect terrorist related multi-language contents;
  • large-scale temporal analysis of terrorism trends;
  • real-time summarization of multilingual and multimedia terrorist-related contents;
  • detection of dis-information in online contents;
  • detection and monitoring of relevant individuals and linking pseudonyms with the original authors;
  • accurate and fast identification of terrorist online communities and groups;
  • capturing, storing and preserving relevant data for further forensic analysis.

You can find more information in the project website

Borja Sanz Urquijo
Borja Sanz Urquijo
Assistant Professor of Programing and A.I.

My research interests include machine learning, natural language processing and FATE.

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