metaphactory is now available as the first solution for graph data management on AWS Marketplace. On the solution page you can learn about our joint metaphactory and Amazon Neptune success story at Siemens Gas and Power. The gas turbines of Siemens Gas and Power are used worldwide in different environments and with customer specific configurations. Managing a broad variety of spare parts and configurations for each turbine is a challenge. metaphactory and Amazon Neptune enabled Siemens Gas and Power to rapidly build a Turbine Knowledge Graph and visualize the connections between similar parts across the entire fleet. With metaphactory, we enabled them to identify and manage spare parts efficiently, saving up to 1500 hours of manual effort per year.

"The key advantage of metaphactory was that we could easily visualize our data during development for early feedback from the business allowing data quality improvements, and fast and target-focused development of our data model and application," says Paul Zolnowski, Section Lead - Post Documentation, Siemens Gas and Power.

Go to the solution page on AWS Marketplace »

Aiming to support engineers in developing and introducing new materials for production, Bosch is building a knowledge graph that exposes material science knowledge and supplies high-quality answers about existing materials in a timely manner.

In a recent paper presented at the ISWC 2019 Industry Track, Bosch describes how the knowledge graph integrates information stored across multiple sources, and how metaphactory is used to satisfy complex query needs through a user-friendly interface for standard keyword search and semantic-based faceted search.

Read paper here »