Publikation
A Platform Framework for the Adoption and Operation of ML-based Smart Services in the Data Ecosystem of Smart Living
Henrik Kortum-Landwehr; Tobias Kohl; Dominik Hubertus; Oliver Hinz; Oliver Thomas
In: Daniel Demmler; Daniel Krupka; Hannes Federrath (Hrsg.). Lecture Notes in Informatics (LNI) - Proceedings. GI-Informatiktage (Informatik-2022), September 26-30, Hamburg, Germany, Köllen Druck+Verlag GmbH, Bonn, 2022.
Zusammenfassung
Smart services utilizing machine learning (ML) take a more and more important position in our daily lives. As a result, the need for a large smart living data ecosystem has emerged that links the most diverse areas of life with each other. This ecosystem is characterized by a multitude of different actors, a heterogeneous system, product and service landscape as well as high data protec- tion requirements. To provide real added value and holistic solutions in this tension field, the or- chestration of different subservices is necessary, bundling the functionality of individual smart de- vices and models. For this goal to be achieved, a framework that considers the complex challenges of the ecosystem focusing on the adoption and operation of smart services is required. Here our paper makes a key contribution. Based on requirements from the literature and concrete smart living use cases, we derive a platform framework for this data ecosystem.