Speaker
Dr
Christian Mader
(Frauenhofer IAIS)
Description
The role and economic value of data is increasingly recognized across various businesses and domains. Recently, capabilities for storing, processing and retrieving large amounts of data that come from various stages of industrial production workflows and product lifecyles have improved tremendously. To gain additional business value out of this data, smart data-driven services and novel value creation chains need to be established, providing a means for trustful data exchange that ensures traceability as well as the data owner’s privacy and
> sovereignty over data. In addition, data consumers need a means to effectively find data that fulfills their information need and which can be used according to acceptable conditions. We argue that for establishing novel methods for creating value out of data, a common understanding of data and metadata across multiple domains is crucial. The approach we propose focuses on a shared information model based on semantic technologies that can describe and express data assets and infrastructure components in a unified way and that builds on existing models and standards. It acts as a point of reference for various stakeholders (e.g., data providers, data consumers, service providers) to publish or consume their contributions and offerings in an domain- and technology-agnostic way, building neutral and decentralized data marketplaces.
| Track | BDAHM |
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Primary authors
Dr
Christian Mader
(Frauenhofer IAIS)
Dr
Steffen Lohmann
(Fraunhofer IAIS)
