Semantic Abstraction an entity of type: ResearchGroup

SIMBA's focus in supporting the transition of non-semantic applications to knowledge-driven applications. Hence we support all major steps from legacy data to rich semantic applications. This includes but is not limited to knowledge storage (triple stores, federated queries), knowledge extraction (RDF extraction from text, structured data, etc.), knowledge integration (link discovery, data fusion), knowledge access (keyword-based search, question answering and rich interfaces) and knowledge consumption within semantic applications . For this purpose, SIMBA develops novel and scalable approaches for data ranging from small to Big Data. In addition, SIMBA provides tools and frameworks that implement these approaches and allow for their swift integration into industry projects.
Agile Knowledge Engineering and Semantic Web
Adnan Akhter; Alexander Bigerl; Dr. André Valdestilhas; Prof. Dr. Axel-C. Ngonga Ngomo; Daniel Obraczka; Diego Esteves; Diego Moussallem; Edgard Marx; Lixi Conrads; Ivan Ermilov; Jonathan Eberle; Jonathan Huthmann; Kevin Dressler; Klaus Lyko; Kleanthi Georgala; Dr. Matthias Wauer; Michael Hoffmann; Michael Röder; Dr. Mohamed Ahmed Sherif; Dr. Muhammad Saleem; Paul Spooren; René Speck; Prof. Dr. Ricardo Usbeck; Prof. Dr. Sandro Rautenberg; Simon Bin; Simon Bordewisch; Dr.-Ing. Timofey Ermilov; Tommaso Soru
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