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)
Working group leader:
Dr. Axel-C. Ngonga Ngomo
Phone: +49 341 97323 41
Mail: ngonga@infai.org