Speeding Up Cancer Research with Target Discovery: An Interview with a Global Top 10 Early Drug R&D Center
How we used Ontotext GraphDB and LLMs to improve CV selection
Healthcare and Life Sciences
GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
Read about three GraphDB-powered use cases in the areas of machine learning, software engineering, and e-health, which are poised to move our understanding and practices of interconnectedness forward by using semantic technologies.
Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
LLD Inventory forms the semantic foundation for Ontotext’s Target Discovery solution.
Migrating From LPG to RDF Graph Model
This post discusses the LPG-RDF vis-a-vis graph models and why enterprises should invest in knowledge graphs with RDFs for their data management practices
Case study: Policy Enforcement Automation With Semantics
Learn from Nimit Mehta, CEO at TopQuadrant, case studies about semantics and knowledge graphs in Life Sciences and Financial Services.
Choosing A Graph Data Model to Best Serve Your Use Case
This post discusses the LPG-RDF vis-a-vis graph models and why enterprises should invest in knowledge graphs with RDFs for their data management practices