Research Group Machine Learning and Ontology Engineering (MOLE)

MOLE is a subgroup of AKSW.

Description

The MOLE group focuses on combining Semantic Web and supervised Machine Learning technologies. The goal is to improve both quality and quantity of available knowledge by extracting, analysing, enriching and linking existing data. To make obtained results readily available for use in other applications, the group also provides several established open source tools, frameworks and demonstrators.

Research Areas

• Supervised Machine Learning in OWL/RDF knowledge bases
• Creating knowledge bases from weakly structured data
• Semi-automatic instance matching
• Quality assurance and enhancement in ontologies

Projects

• DL-Learner
• DBpedia
• LinkedGeoData
• NLP2RDF
• ORE
• ReDD
• SAIM
• AutoSPARQL

Members

Dr. Jens Lehmann Johannisgasse 26, Zimmer 5-10 04103 Leipzig Tel.:   +49 341 97-32260 E-Mail, Homepage, Research Group	Sebastian Hellmann Johannisgasse 26, Zimmer 5-10 04103 Leipzig Tel.:   +49 341 97 32273 E-Mail, Research Group, Workpage, Homepage, rdfs:seeAlso
Claus Stadler Johannisgasse 26, Zimmer 5-10 04103 Leipzig Tel.:   +49 341 97 32273 E-Mail, Research Group, Workpage	Mohamed Morsey Johannisgasse 26, Zimmer 5-10 04103 Leipzig Tel.:   +49 341 97 32273 E-Mail, Research Group, Workpage
Amrapali J. Zaveri Johannisgasse 26, Zimmer 5-10 04103 Leipzig Tel.:   +49 341 97-32273 E-Mail, Workpage, Research Group	Lorenz Bühmann Johannisgasse 26, Zimmer 5-10 04103 Leipzig Tel.:   +49 341 97 32273 E-Mail, Research Group, Workpage

Publications

Goal: The main goal of MOLE is to simplify or enable the creation, extension, analysis, and linkage of knowledge bases in the Semantic Web by using Machine Learning techniques.

MOLE internal area