Research Group Semantic Abstraction (SIMBA)

SIMBA is a subgroup of AKSW.

Goals

SIMBA's focus lies on knowledge extraction, integration, linking and consumption for porting the document-oriented web to the Data Web. For this purpose, SIMBA develops novel and scalable approaches for RDF/OWL extraction, link discovery and graph analysis. In addition, SIMBA provides tools and frameworks that implement these approaches and allow for their swift integration into industry projects.

Research Areas

• Natural Language Processing
• Extraction of RDF and OWL from unstructured data
• Link Discovery
• Machine Learning

Projects

• ALOE
• BorderFlow
• BOA
• Cluster Visualization Kit
• DISCO with Frank Schumacher
• FOX
• LIMES and LIMES++ with a Research Grant from Amazon
• LOD2
• GENIA
• SCMS
• SAIM

Members

Norman Heino Johannisgasse 26, Zimmer 5-08 04103 Leipzig Tel.:   +49 341 97 32368 E-Mail, Research Group, Workpage	Dr. Axel-C. Ngonga Ngomo Johannisgasse 26, Zimmer 5-22 04103 Leipzig Tel.:   +49 341 97-32341 E-Mail, Workpage
Nadine Jänicke Johannisgasse 26, Zimmer 5-17 04103 Leipzig Tel.:   +49 341 97 32310 E-Mail, Research Group, Workpage	Daniel Gerber Johannisgasse 26, Zimmer 5-21 04103 Leipzig Tel.:   +49 341 97 32322 E-Mail, Research Group, Workpage
Saeedeh Shekarpour Johannisgasse 26, Zimmer 5-22 04103 Leipzig Tel.:   +49 341 97 32341 E-Mail, Research Group, Workpage

Publications