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A Platform Framework for the Adoption and Operation of ML-based Smart Services in the Data Ecosystem of Smart Living

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dc.contributor.authorKortum,Henrik
dc.contributor.authorKohl,Tobias
dc.contributor.authorHubertus,Dominik
dc.contributor.authorHinz,Oliver
dc.contributor.authorThomas,Oliver
dc.contributor.editorDemmler, Daniel
dc.contributor.editorKrupka, Daniel
dc.contributor.editorFederrath, Hannes
dc.date.accessioned2022-09-28T17:10:24Z
dc.date.available2022-09-28T17:10:24Z
dc.date.issued2022
dc.description.abstractSmart 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 protection requirements. To provide real added value and holistic solutions in this tension field, the orchestration of different subservices is necessary, bundling the functionality of individual smart devices 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.en
dc.identifier.doi10.18420/inf2022_32
dc.identifier.isbn978-3-88579-720-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39531
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-326
dc.subjectML
dc.subjectSmart Services
dc.subjectSmart Living Framework
dc.subjectML-Adoption
dc.subjectData Ecosystem
dc.titleA Platform Framework for the Adoption and Operation of ML-based Smart Services in the Data Ecosystem of Smart Livingen
gi.citation.endPage377
gi.citation.startPage361
gi.conference.date26.-30. September 2022
gi.conference.locationHamburg
gi.conference.sessiontitleNachhaltige Wertschöpfungssysteme (NaWerSys) II

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P326 - INFORMATIK 2022 - Informatik in den Naturwissenschaften