@misc{CombiOliboniWeskeetal.2018,
  author    = {Combi, Carlo and Oliboni, Barbara and Weske, Mathias and Zerbato, Francesca},
  title     = {Conceptual modeling of processes and data},
  series = {Conceptual Modeling, ER 2018},
  volume    = {11157},
  journal   = {Conceptual Modeling, ER 2018},
  editor    = {Trujillo, JC Davis},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-00847-5},
  issn      = {0302-9743},
  doi       = {10.1007/978-3-030-00847-5_18},
  pages     = {236 -- 250},
  year      = {2018},
  abstract  = {Business processes constantly generate, manipulate, and consume data that are managed by organizational databases. Despite being central to process modeling and execution, the link between processes and data is often handled by developers when the process is implemented, thus leaving the connection unexplored during the conceptual design. In this paper, we introduce, formalize, and evaluate a novel conceptual view that bridges the gap between process and data models, and show some kinds of interesting insights that can be derived from this novel proposal.},
  language  = {en}
}
@article{CombiOliboniWeskeetal.2021,
  author    = {Combi, Carlo and Oliboni, Barbara and Weske, Mathias and Zerbato, Francesca},
  title     = {Seamless conceptual modeling of processes with transactional and analytical data},
  series = {Data \& knowledge engineering},
  volume    = {134},
  journal   = {Data \& knowledge engineering},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0169-023X},
  doi       = {10.1016/j.datak.2021.101895},
  pages     = {14},
  year      = {2021},
  abstract  = {In the field of Business Process Management (BPM), modeling business processes and related data is a critical issue since process activities need to manage data stored in databases. The connection between processes and data is usually handled at the implementation level, even if modeling both processes and data at the conceptual level should help designers in improving business process models and identifying requirements for implementation. Especially in data -and decision-intensive contexts, business process activities need to access data stored both in databases and data warehouses. In this paper, we complete our approach for defining a novel conceptual view that bridges process activities and data. The proposed approach allows the designer to model the connection between business processes and database models and define the operations to perform, providing interesting insights on the overall connected perspective and hints for identifying activities that are crucial for decision support.},
  language  = {en}
}