metaphacts Blog
Our blog strives to deliver content, ideas & inspiration to guide & support you on your journey into the world of Knowledge Graphs
Using knowledge graph-based LLM for relation & event detection
Reading time: approx. 9-10 minutes
This post originally appeared on the Ontotext website and is republished and edited with the permission of our partners at Ontotext. In this blog post, we explore Ontotext’s latest knowledge graph-powered solution that works with LLMs to transform raw news content into actionable data for events impact assessment and risk and opportunity detection.
Introducing the Dimensions Knowledge Graph
Reading time: approx. 10-12 minutes
In this blog post, we discuss the capabilities of the new Dimensions Knowledge Graph and how it helps organizations overcome persistent data challenges in the pharma space and power use cases across the entire pharma value chain. Keep reading!
Configure Single Sign-On in metaphactory for maximum security & control
Reading time: 7 minutes
In a previous blog post, we described an approach to forward the identity in the form of the user’s metaphactory access token. Here, we’ll go a step further and show you how the Microsoft Azure On-Behalf Of workflow (OBO) can be employed—to not only forward the metaphactory token but exchange it with an access token for the target application, therefore providing a maximum level of security.
We used a knowledge graph to enhance our CMS. Here’s how it went.
Reading time: 7-9 minutes
In this blog post, we talk about how we created a knowledge graph-powered out-of-box metaphacts Resource Hub that integrates with our content management solution. We also discuss how you can achieve a similar integration with your CMS while reviewing the KompAKI knowledge hub, as another example.
Building massive knowledge graphs using automated ETL pipelines
Reading time: 10-12 minutes
In this blog post, we’ll explore how to build a massive knowledge graph from existing information or external sources in a repeatable and scalable manner. We’ll go through the process step-by-step, and discuss how the Graph-Massivizer project supports the development of multiple large knowledge graphs and the considerations you need to take when creating your own graph. Keep reading!
- Visualize and explore knowledge graphs quickly by connecting metaphactory to Amazon Neptune
- Fragmented knowledge in pharma: Bridging the divide between private and public data
- Introducing: Next-generation Semantic Search
- Building explainable and trustworthy recommendation systems: What we learned from IKEA at KGC 2023