Towards Integration-Preserving Customization of Just-in-Time Adaptive Interventions with Composite Clabjects in RDF and SHACL

Sebastian Gruber; Bernd Neumayr; Jan David Smeddinck

doi:10.1145/3550356.3561608

Towards Integration-Preserving Customization of Just-in-Time Adaptive Interventions with Composite Clabjects in RDF and SHACL

Sebastian Gruber
, Bernd Neumayr
, Jan David Smeddinck

Institut für Wirtschaftsinformatik - Data & Knowledge Engineering

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

Just-in-time adaptive interventions (JITAIs) aim at health-promoting behavior change of individuals. Moving the development and evaluation of JITAIs beyond custom implementations for each specific use case will require integration-preserving customization, i.e., adaptation to different studies and participants without compromising integration for data analysis. For this purpose we develop a multi-level modeling (MLM) approach that builds on two-level structural conceptual models with composition and specialization extended by Cardelli power types yielding hierarchies of composite clabjects. We show the practical applicability of the approach through modeling of an example study on JITAIs for a digital health intervention, and demonstrate an RDF- and SHACL-based implementation.

Originalsprache	Englisch
Titel	Proceedings of the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022), October 23–28, 2022, Montreal, Canada
Erscheinungsort	New York
Verlag	ACM Press
Seiten	458-462
Seitenumfang	5
ISBN (elektronisch)	9781450394673
DOIs	https://doi.org/10.1145/3550356.3561608
Publikationsstatus	Veröffentlicht - 23 Okt. 2022

Publikationsreihe

Name	Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings

Wissenschaftszweige

102 Informatik
102010 Datenbanksysteme
102015 Informationssysteme
102016 IT-Sicherheit
102025 Verteilte Systeme
102027 Web Engineering
102028 Knowledge Engineering
102030 Semantische Technologien
102033 Data Mining
102035 Data Science
509026 Digitalisierungsforschung
502050 Wirtschaftsinformatik
502058 Digitale Transformation
503008 E-Learning

JKU-Schwerpunkte

Digital Transformation

Zugriff auf Dokument

10.1145/3550356.3561608

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Gruber, S., Neumayr, B., & Smeddinck, J. D. (2022). Towards Integration-Preserving Customization of Just-in-Time Adaptive Interventions with Composite Clabjects in RDF and SHACL. in Proceedings of the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022), October 23–28, 2022, Montreal, Canada (S. 458-462). (Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings). ACM Press. https://doi.org/10.1145/3550356.3561608

Gruber, Sebastian ; Neumayr, Bernd ; Smeddinck, Jan David. / Towards Integration-Preserving Customization of Just-in-Time Adaptive Interventions with Composite Clabjects in RDF and SHACL. Proceedings of the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022), October 23–28, 2022, Montreal, Canada. New York : ACM Press, 2022. S. 458-462 (Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings).

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abstract = "Just-in-time adaptive interventions (JITAIs) aim at health-promoting behavior change of individuals. Moving the development and evaluation of JITAIs beyond custom implementations for each specific use case will require integration-preserving customization, i.e., adaptation to different studies and participants without compromising integration for data analysis. For this purpose we develop a multi-level modeling (MLM) approach that builds on two-level structural conceptual models with composition and specialization extended by Cardelli power types yielding hierarchies of composite clabjects. We show the practical applicability of the approach through modeling of an example study on JITAIs for a digital health intervention, and demonstrate an RDF- and SHACL-based implementation.",

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Gruber, S, Neumayr, B & Smeddinck, JD 2022, Towards Integration-Preserving Customization of Just-in-Time Adaptive Interventions with Composite Clabjects in RDF and SHACL. in Proceedings of the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022), October 23–28, 2022, Montreal, Canada. Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings, ACM Press, New York, S. 458-462. https://doi.org/10.1145/3550356.3561608

Towards Integration-Preserving Customization of Just-in-Time Adaptive Interventions with Composite Clabjects in RDF and SHACL. / Gruber, Sebastian; Neumayr, Bernd; Smeddinck, Jan David.
Proceedings of the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022), October 23–28, 2022, Montreal, Canada. New York: ACM Press, 2022. S. 458-462 (Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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AB - Just-in-time adaptive interventions (JITAIs) aim at health-promoting behavior change of individuals. Moving the development and evaluation of JITAIs beyond custom implementations for each specific use case will require integration-preserving customization, i.e., adaptation to different studies and participants without compromising integration for data analysis. For this purpose we develop a multi-level modeling (MLM) approach that builds on two-level structural conceptual models with composition and specialization extended by Cardelli power types yielding hierarchies of composite clabjects. We show the practical applicability of the approach through modeling of an example study on JITAIs for a digital health intervention, and demonstrate an RDF- and SHACL-based implementation.

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Gruber S, Neumayr B, Smeddinck JD. Towards Integration-Preserving Customization of Just-in-Time Adaptive Interventions with Composite Clabjects in RDF and SHACL. in Proceedings of the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022), October 23–28, 2022, Montreal, Canada. New York: ACM Press. 2022. S. 458-462. (Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings). doi: 10.1145/3550356.3561608