Semantics – Smart linking for service information across systems.

The engineering industry struggles often with inconsistent data and metadata stored in multiple data silos. This is a challenge especially for data-driven use case that requires a continuous information supply chain. Customer service processes rely on well-connected information and data to keep machine availability high. Identifying a fault quickly and clearly and fixing it without having to return to the site several times is crucial. Persons and systems involved in service processes use a wide range of information in a variety of systems and applications. However, significant time and information is often lost because information is not found quickly enough or not found at all. The challenge is to provide the service organization with the best possible information and to connect it in a meaningful way. Based on known and critical use cases, relevant information should be provided proactively. This paper describes a holistic approach to address these challenges using semantic technologies such as knowledge graphs, semantic modelling methods and microservice-based infrastructure. The paper presents the concept, implementations, a discussion of experiences, as well as results. [ABSTRACT FROM AUTHOR]