Biomedical researchers navigate an overwhelming landscape of data: gene ontologies, protein databases, disease pathways, scattered across multiple sources and formats. Finding connections means wrestling with complexity instead of focusing on discovery. On March 17, we’ll introduce Talk to Linked Life Data, a solution that enables natural-language querying of complex biomedical datasets. Built on semantic web technologies and our own Linked Life Data Inventory, it empowers researchers to explore vast, interconnected knowledge graphs through intuitive conversation.
We’ll show how this approach:
- Uses established reference datasets (GO, NCBI Gene, UniProt) to normalize and interlink diverse data sources
- Hides data complexity while enabling intuitive exploration
- Helps researchers uncover disease biology and underlying mechanisms from heterogeneous, multimodal data
Join Ilian Uzunov, Market Lead at Graphwise, and Todor Primov, Director Life-Sciences Solutions, to see how semantic building blocks and natural language interaction are changing the way researchers gain insights from biomedical data.