TY  - CONF
ID  - Scrocca2025_dataops
T1  - A DataOps Toolbox Enabling Continuous Semantic Integration of Devices for Edge-Cloud AI Applications
A1  - Scrocca, Mario
A1  - Grassi, Marco
A1  - Carenini, Alessio
A1  - Anicic, Darko
A1  - Calbimonte, Jean-Paul
A1  - Celino, Irene
ED  - Garijo, Daniel
ED  - Kirrane, Sabrina
ED  - Salatino, Angelo
ED  - Shimizu, Cogan
ED  - Acosta, Maribel
ED  - Nuzzolese, Andrea Giovanni
ED  - Ferrada, Sebastián
ED  - Soulard, Thibaut
ED  - Kozaki, Kouji
ED  - Takeda, Hideaki
ED  - Gentile, Anna Lisa
TI  - Proc. of the 24th International Semantic Web Conference ISWC
Y1  - 2025
M1  - inproc
SP  - 379
EP  - 397
PB  - Springer Nature Switzerland
AD  - Cham
SN  - 978-3-032-09530-5
SN  - 1611-3349
M2  - doi: 10.1007/978-3-032-09530-5_22
N2  - The implementation of AI-based applications in complex environments often requires the collaboration of several devices spanning from edge to cloud. Identifying the required devices and configuring them to collaborate is a challenge relevant to different scenarios, like industrial shopfloors, road infrastructures, and healthcare therapies. We discuss the design and implementation of a DataOps toolbox leveraging Semantic Web technologies and a low-code mechanism to address heterogeneous data interoperability requirements in the development of such applications. The toolbox supports a continuous semantic integration approach to tackle various types of devices, data formats, and semantics, as well as different communication interfaces. The paper presents the application of the toolbox to three use cases from different domains, the DataOps pipelines implemented, and how they guarantee interoperability of static nodes' information and runtime data exchanges. Finally, we discuss the results from the piloting activities in the use cases and the lessons learned.
ER  -