Semantic Data Management (SDM)

Information needs becoming more complex and the growing trend to hybrid information processing (human+machine) increasingly require the use of semantic web technologies and port legacy data.

Specific subject areas of the centre of excellence are:

Knowledge Extraction and Storage

  • Web-Scale Knowledge Extraction (TAIPAN, FOX, AGDISTIS, OCELOT)
  • Federated Queries (Quetsal)
  • Large-Scale Storage and Caching (Quetsal, BDE)
  • Benchmarking (GERBIL, HOBBIT)

Knowledge Integration and Fusion

  • Statistical Relational Learning (LIMES)
  • Link Discovery and Fusion (LIMES, DEER)
  • Machine learning (EAGLE, WOMBAT)

Knowledge Access

  • Keyword Search (SINA, DIESEL)
  • Hybrid Question Answering (HAWK)
  • Browsing and Interfaces (Ginseng, Onto Wiki)
Prof. Dr. Axel-C. Ngonga Ngomo
Prof. Dr. Axel-C. Ngonga Ngomo

Working group leader:
Dr. Axel-C. Ngonga Ngomo
Phone: +49 341 97323 41