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!
Building explainable and trustworthy recommendation systems: What we learned from IKEA at KGC 2023
Reading time: 9 - 11 minutes
In this blog post, we dive into how knowledge graphs play an important role in IKEA's recommendation systems, based on our experience attending two presentations by IKEA at the 2023 Knowledge Graph Conference.
The future of libraries and linked data: How the National Library Board of Singapore modernized its data management
Reading time: 9 minutes
In this blog post, we'll discuss the powerful knowledge graph-based solution that transformed NLB's library and resource management, and how you, too, can leverage these tools to support your organization's data-driven use case!
Semantic Knowledge Graphs from Human Remains - Modeling osteological research data from biological anthropology
Reading time: 8 - 15 minutes
This blog post is co-authored by Felix Engel and Stefan Schlager. Felix and Stefan work for the department of Biological Anthropology at the University of Freiburg where they lead the development of AnthroGraph – an application that researchers can use to model anthropological data as knowledge graphs and intuitively explore, visualize and find information. In this guest post for the metaphacts blog, they explain how metaphactory was used as the development framework for AnthroGraph and how the resulting application can support the standardization of research data and the creation of reliable, curated and reusable collections of osteological research, ultimately allowing researchers to collaborate across disciplines and perform large-scale analyses.
GraphDB & metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action
Reading time: 6 - 11 minutes
In our previous post, we covered the basics of how the Ontotext and metaphacts joint solution based on GraphDB and metaphactory helps customers accelerate their knowledge graph journey and generate value from it in a matter of days.
This post looks at a specific clinical trial scoping example, powered by a knowledge graph that we have built for the EU funded project FROCKG, where both Ontotext and metaphacts are partners. It demonstrates how GraphDB and metaphactory work together and how you can employ the platform's intuitive and out-of-the-box search, visualization and authoring components to empower end users to consume data from your knowledge graph.
You can also listen to our on-demand webinar on the same topic or check out our use case brief.