Team
Contact details of all persons in the department
The challenges that the research group is working on include:
- Devise Knowledge graphs able to encode the meaning and context of scientific data and contain knowledge about provenance, privacy, quality, and uncertainty.
- Domain-specific ontologies and link discovery techniques are capable of promoting the interoperability of heterogeneous and large scientific datasets in a scalable manner.
- Integration methods for heterogeneous and extensive scientific data sources, for example, legacy data, structured and unstructured data, as well as static data and continuous data streams.
- Storage and distribution of large-scale scientific data and knowledge graphs.
- Access control methods to enforce privacy regulations for sensitive data.
- Query engines for distributed scientific knowledge graphs.
- Data analysis and methods of knowledge discovery via scientific knowledge graphs.
