Simple-ML: Towards a Framework for Semantic Data Analytics Workflows

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dc.identifier.uri Gottschalk, Simon Tempelmeier, Nicolas Kniesel, Günter Iosifidis, Vasileios Fetahu, Besnik Demidova, Elena
dc.contributor.editor Acosta, Maribel
dc.contributor.editor Cudré-Mauroux, Philippe
dc.contributor.editor Maleshkova, Maria
dc.contributor.editor Pellegrini, Tassilo
dc.contributor.editor Sack, Harald
dc.contributor.editor Sure-Vetter, York 2020-12-02T13:04:27Z 2020-12-02T13:04:27Z 2019
dc.identifier.citation Gottschalk, S.; Tempelmeier, N.; Kniesel, G.; Iosifidis, V.; Fetahu, B. et al.: Simple-ML: Towards a Framework for Semantic Data Analytics Workflows. In: Acosta, M.; Cudré-Mauroux, P.; Maleshkova, M.; Pellegrini, T.; Sack, H.; Sure-Vetter, Y. (Eds.): Semantic Systems. The Power of AI and Knowledge Graphs. Heidelberg : Springer Verlag, 2019 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; 11702 LNCS), S. 359-366. DOI:
dc.description.abstract In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic data models that lay the foundation for the framework development and discuss the data analytics workflows based on these models. Furthermore, we present an example instantiation of the Simple-ML data models for a real-world use case in the mobility domain. © 2019, The Author(s). eng
dc.language.iso eng
dc.publisher Heidelberg : Springer Verlag
dc.relation.ispartof Semantic Systems. The Power of AI and Knowledge Graphs eng
dc.relation.ispartofseries Lecture Notes in Computer Science ; 11702
dc.rights CC BY 4.0 Unported
dc.subject Reusability eng
dc.subject Semantics eng
dc.subject Framework development eng
dc.subject Real-world eng
dc.subject Semantic data model eng
dc.subject Semantic technologies eng
dc.subject Work-flows eng
dc.subject Data Analytics eng
dc.subject.ddc 004 | Informatik ger
dc.title Simple-ML: Towards a Framework for Semantic Data Analytics Workflows
dc.type bookPart
dc.type conferenceObject
dc.type Text
dc.relation.isbn 978-3-030-33219-8
dc.relation.isbn 978-3-030-33220-4
dc.relation.issn 0302-9743
dc.bibliographicCitation.firstPage 359
dc.bibliographicCitation.lastPage 366
dc.description.version publishedVersion
tib.accessRights frei zug�nglich

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