SBIR 136 - KITWARE: Viime Extract: An AI-powered Knowledge Graph Extraction System for Metabolomics

NIH RePORTER · NIH · N43 · $299,999 · view on reporter.nih.gov ↗

Abstract

Viime Extract is a web application for generating and curating knowledge graph data, focused on metabolomics and infectious disease use cases. Research papers and tabular data is fed into the system and analyzed with large language AI models (LLMs). The resultant JSON-LD data is matched against known ontologies (e.g. KEGG) and existing graph databases (e.g. Reactome). Extracted knowledge is also stored in a central graph database and presented to the user in an intuitive interactive visualization for validation and correction. In addition to providing a novel integrated, easy-to-use workflow, Viime Extract incorporates AI prompt and AI model selection tools to enable customization and optimization of automated results over time.

Key facts

NIH application ID
11214910
Project number
75N93024C00035-0-9999-1
Recipient
KITWARE, INC.
Principal Investigator
JEFF BAUMES
Activity code
N43
Funding institute
NIH
Fiscal year
2024
Award amount
$299,999
Award type
Project period
2024-09-06 → 2025-09-05