How to create a knowledge graph application with metaphactory and Amazon Neptune
Reading time: approx. 6 minutes
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This article is a follow-up in a series where we show how you can use metaphactory to build an end-user application using its dynamic model-driven components, driven by SPARQL queries. It originally appeared on the Amazon AWS blog and was republished and edited with permission from our partners at Amazon AWS.
Exploring app-building in metaphactory with the metaphacts Nobel Prize assets bundle
Reading time: approx. 7 minutes
In this blog post, we discuss the metaphacts Nobel Prize App, where you can explore information and gain deeper insights into the awards, prize winners and uncover any relations between them — all while experiencing the full range of app-building capabilities metaphactory has to offer.
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.
Visualize and explore knowledge graphs quickly by connecting metaphactory to Amazon Neptune
Reading time: 9 minutes
This post has also been published on the AWS Database blog.
In this post, we show you how to get started with knowledge graphs using the metaphactory platform backed by Amazon Neptune. Offered by AWS Partner Network (APN) Select Technology Partner metaphacts GmbH, metaphactory helps you build knowledge graphs and the smart applications that use them.
The composable enterprise powered by metaphactory
Reading time: 8 minutes
In this blog post, we discuss metaphactory’s app mechanism that supports the composable enterprise approach and look at the following: the components included in an app, the development-staging-production lifecycle of an app, the architecture of an app and an app example.