Making the most of the Internet of Things with semantic modeling and knowledge graphs
If a company wants to utilize data for analysis models, process optimization or business model development, it must make existing data usable and tap into new data. Doing so requires suitable technologies and procedures for collecting, processing and integrating the data. This is where our research into all aspects of connected data space and the Internet of Things comes in.
To ensure companies have quick and flexible access to their data, we are designing – within the production and logistics environment – connected data space based on what are known as knowledge graphs. We also employ rapid IoT prototyping so that companies can access any missing process data as soon as possible. This allows sensor data to be quickly integrated into existing systems, a process that is also based on knowledge graphs.
The next generation of AI applications will be built on knowledge graphs, applications that have flexible data access, connect data automatically and draw logical conclusions. Establishing decentralized management of the data and the processing steps paves the way for integrating new sources, with each company maintaining sovereignty over its data. In addition, the system can be adopted quickly and is resilient to malfunctions. In short, knowledge graphs can help companies establish a future-oriented data platform and thus make more of their data. The research work is funded by the Bavarian Ministry of Economic Affairs, Regional Development and Energy as part of the “Technologies and Solutions for Digitalized Value Creation“ project.