Dr. Heiko Paulheim
- GLocSyn (since 2011)
- Semantic Web | Machine Learning on Linked Data | Ontology Matching | Ontology Learning | Applications of Semantic Technologies | Ontology-enhanced User Interfaces
MICI is a mashup that uses information from Linked Open Data for rule-based risk assessment, demonstrated with live data provided by the Seattle fire brigade. It has been developed together with Axel Schulz from the Telecooperation Group.
Explain-a-LOD generates hypotheses for explaining statistics. The background knowledge for creating the explanations is automatically drawn from Linked Open Data.
FeGeLOD (Feature Generation from Linked Open Data) is a tool for preparing data sets for data mining and machine learning by generating additional features from Linked Open Data.
- UI² Ontology
The UI² Ontology is a formal ontology for describing user interfaces, their components, and the interactions that are possible with them.
Malasco is an ontology matching framework capable of matching very large ontologies using different partitioning and matching strategies.
WeSeE-Match is an ontology matching tool which exploits a web search engine for determining similarities between concepts in different ontologies.