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

Institute of Business Informatics - Data and Knowledge Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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.

Original language	English
Title of host publication	Proceedings of the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022), October 23–28, 2022, Montreal, Canada
Place of Publication	New York
Publisher	ACM Press
Pages	458-462
Number of pages	5
DOIs	https://doi.org/10.1145/3550356.3561608
Publication status	Published - Oct 2022

Publication series

Name	Demo Paper

Fields of science

102 Computer Sciences
102010 Database systems
102015 Information systems
102016 IT security
102025 Distributed systems
102027 Web engineering
102028 Knowledge engineering
102030 Semantic technologies
102033 Data mining
102035 Data science
509026 Digitalisation research
502050 Business informatics
502058 Digital transformation
503008 E-learning

JKU Focus areas

Digital Transformation

Access to Document

10.1145/3550356.3561608

Cite this

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 (pp. 458-462). (Demo Paper). 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. pp. 458-462 (Demo Paper).

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

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.",

author = "Sebastian Gruber and Bernd Neumayr and Smeddinck, {Jan David}",

year = "2022",

month = oct,

doi = "10.1145/3550356.3561608",

language = "English",

series = "Demo Paper",

publisher = "ACM Press",

pages = "458--462",

booktitle = "Proceedings of the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022), October 23–28, 2022, Montreal, Canada",

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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. Demo Paper, ACM Press, New York, pp. 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. p. 458-462 (Demo Paper).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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PY - 2022/10

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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. p. 458-462. (Demo Paper). doi: 10.1145/3550356.3561608

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

Abstract

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JKU Focus areas

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