metaphacts serves customers of various sizes and across multiple industries, from public institutions to large corporations. Customers choose to work with our product metaphactory because it makes building Knowledge Graphs and smart applications on-top easy, fast and affordable.
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CASE STUDY: TURBINE SPARE PARTS MANAGEMENT AT SIEMENS ENERGY
SMART AND TARGETED MAINTENANCE OF SPARE PARTS OF LARGE GAS TURBINES
Shorter time to market of the business solution through rapid application development
Efficient identification and management of spare parts, resulting in higher productivity and yearly time savings of up to 1,500 hours in the first year already
Increased business user and customer satisfaction
» Download complete case study "Siemens Energy significantly reduces manual effort for spare parts management of large gas turbines with metaphactory and Amazon Neptune"
CASE STUDY: MATERIALS SCIENCE KNOWLEDGE GRAPH AT BOSCH
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.
Leveraging semantic technologies and the metaphactory platform, the Industrial Knowledge Graph has become an integral element in Siemens' strategy towards intelligent engineering and manufacturing. It powers various business use cases, including gas turbine maintenance, building automation, risk management, factory monitoring, and internal R&D management.
To learn more about Siemens's Industrial Knowledge Graph, have a look at the following material: