@article{BertrandEtAl_OCEL_2025,
  author       = {Yannis Bertrand and
                  Christian Imenkamp and
                  Lukas Malburg and
                  Matthias Ehrendorfer and
                  Marco Franceschetti and
                  Joscha Gr{\"{u}}ger and
                  Francesco Leotta and
                  J{\"{u}}rgen Mangler and
                  Ronny Seiger and
                  Agnes Koschmider and
                  Stefanie Rinderle{-}Ma and
                  Barbara Weber and
                  Estefan{\'{\i}}a Serral},
  title        = {{An object-centric core metamodel for IoT-enhanced event logs}},
  journal      = {CoRR},
  volume       = {abs/2506.21300},
  year         = {2025},
  url          = {https://www.wi2.uni-trier.de/shared/publications/BertrandEtAl_OCEL_2025.pdf},
  doi          = {10.48550/arXiv.2506.21300},
  abstract  = {Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across various sectors, such as manufacturing, healthcare and smart spaces. The proliferation of IoT devices leads to the generation of large amounts of IoT data providing a window on the physical context of BPs, which facilitates the discovery of new insights about BPs using process mining (PM) techniques. However, to achieve these benefits, IoT data need to be combined with traditional process (event) data, which is challenging due to the very different characteristics of IoT and process data, for instance in terms of granularity levels. Recently, several data models were proposed to integrate IoT data with process data, each focusing on different aspects of data integration based on different assumptions and requirements. This fragmentation hampers data exchange and collaboration in the field of PM, e.g., making it tedious for researchers to share data. In this paper, we present a core model synthesizing the most important features of existing data models. As the core model is based on common requirements, it greatly facilitates data sharing and collaboration in the field. A prototypical Python implementation is used to evaluate the model against various use cases and demonstrate that it satisfies these common requirements.},
  eprinttype    = {arXiv},
  eprint       = {2506.21300},
  keywords = {Event logs, Internet of Things, Process mining, IoT-enhanced event logs}
}

{"_id":"5sfpo8Q6piPH8AYa8","bibbaseid":"bertrand-imenkamp-malburg-ehrendorfer-franceschetti-grger-leotta-mangler-etal-anobjectcentriccoremetamodelforiotenhancedeventlogs-2025","author_short":["Bertrand, Y.","Imenkamp, C.","Malburg, L.","Ehrendorfer, M.","Franceschetti, M.","Grüger, J.","Leotta, F.","Mangler, J.","Seiger, R.","Koschmider, A.","Rinderle-Ma, S.","Weber, B.","Serral, E."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Yannis"],"propositions":[],"lastnames":["Bertrand"],"suffixes":[]},{"firstnames":["Christian"],"propositions":[],"lastnames":["Imenkamp"],"suffixes":[]},{"firstnames":["Lukas"],"propositions":[],"lastnames":["Malburg"],"suffixes":[]},{"firstnames":["Matthias"],"propositions":[],"lastnames":["Ehrendorfer"],"suffixes":[]},{"firstnames":["Marco"],"propositions":[],"lastnames":["Franceschetti"],"suffixes":[]},{"firstnames":["Joscha"],"propositions":[],"lastnames":["Grüger"],"suffixes":[]},{"firstnames":["Francesco"],"propositions":[],"lastnames":["Leotta"],"suffixes":[]},{"firstnames":["Jürgen"],"propositions":[],"lastnames":["Mangler"],"suffixes":[]},{"firstnames":["Ronny"],"propositions":[],"lastnames":["Seiger"],"suffixes":[]},{"firstnames":["Agnes"],"propositions":[],"lastnames":["Koschmider"],"suffixes":[]},{"firstnames":["Stefanie"],"propositions":[],"lastnames":["Rinderle-Ma"],"suffixes":[]},{"firstnames":["Barbara"],"propositions":[],"lastnames":["Weber"],"suffixes":[]},{"firstnames":["Estefanía"],"propositions":[],"lastnames":["Serral"],"suffixes":[]}],"title":"An object-centric core metamodel for IoT-enhanced event logs","journal":"CoRR","volume":"abs/2506.21300","year":"2025","url":"https://www.wi2.uni-trier.de/shared/publications/BertrandEtAl_OCEL_2025.pdf","doi":"10.48550/arXiv.2506.21300","abstract":"Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across various sectors, such as manufacturing, healthcare and smart spaces. The proliferation of IoT devices leads to the generation of large amounts of IoT data providing a window on the physical context of BPs, which facilitates the discovery of new insights about BPs using process mining (PM) techniques. However, to achieve these benefits, IoT data need to be combined with traditional process (event) data, which is challenging due to the very different characteristics of IoT and process data, for instance in terms of granularity levels. Recently, several data models were proposed to integrate IoT data with process data, each focusing on different aspects of data integration based on different assumptions and requirements. This fragmentation hampers data exchange and collaboration in the field of PM, e.g., making it tedious for researchers to share data. In this paper, we present a core model synthesizing the most important features of existing data models. As the core model is based on common requirements, it greatly facilitates data sharing and collaboration in the field. A prototypical Python implementation is used to evaluate the model against various use cases and demonstrate that it satisfies these common requirements.","eprinttype":"arXiv","eprint":"2506.21300","keywords":"Event logs, Internet of Things, Process mining, IoT-enhanced event logs","bibtex":"@article{BertrandEtAl_OCEL_2025,\n author = {Yannis Bertrand and\n Christian Imenkamp and\n Lukas Malburg and\n Matthias Ehrendorfer and\n Marco Franceschetti and\n Joscha Gr{\\\"{u}}ger and\n Francesco Leotta and\n J{\\\"{u}}rgen Mangler and\n Ronny Seiger and\n Agnes Koschmider and\n Stefanie Rinderle{-}Ma and\n Barbara Weber and\n Estefan{\\'{\\i}}a Serral},\n title = {{An object-centric core metamodel for IoT-enhanced event logs}},\n journal = {CoRR},\n volume = {abs/2506.21300},\n year = {2025},\n url = {https://www.wi2.uni-trier.de/shared/publications/BertrandEtAl_OCEL_2025.pdf},\n doi = {10.48550/arXiv.2506.21300},\n abstract = {Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across various sectors, such as manufacturing, healthcare and smart spaces. The proliferation of IoT devices leads to the generation of large amounts of IoT data providing a window on the physical context of BPs, which facilitates the discovery of new insights about BPs using process mining (PM) techniques. However, to achieve these benefits, IoT data need to be combined with traditional process (event) data, which is challenging due to the very different characteristics of IoT and process data, for instance in terms of granularity levels. Recently, several data models were proposed to integrate IoT data with process data, each focusing on different aspects of data integration based on different assumptions and requirements. This fragmentation hampers data exchange and collaboration in the field of PM, e.g., making it tedious for researchers to share data. In this paper, we present a core model synthesizing the most important features of existing data models. As the core model is based on common requirements, it greatly facilitates data sharing and collaboration in the field. A prototypical Python implementation is used to evaluate the model against various use cases and demonstrate that it satisfies these common requirements.},\n eprinttype = {arXiv},\n eprint = {2506.21300},\n keywords = {Event logs, Internet of Things, Process mining, IoT-enhanced event logs}\n}\n\n","author_short":["Bertrand, Y.","Imenkamp, C.","Malburg, L.","Ehrendorfer, M.","Franceschetti, M.","Grüger, J.","Leotta, F.","Mangler, J.","Seiger, R.","Koschmider, A.","Rinderle-Ma, S.","Weber, B.","Serral, E."],"key":"BertrandEtAl_OCEL_2025","id":"BertrandEtAl_OCEL_2025","bibbaseid":"bertrand-imenkamp-malburg-ehrendorfer-franceschetti-grger-leotta-mangler-etal-anobjectcentriccoremetamodelforiotenhancedeventlogs-2025","role":"author","urls":{"Paper":"https://www.wi2.uni-trier.de/shared/publications/BertrandEtAl_OCEL_2025.pdf"},"keyword":["Event logs","Internet of Things","Process mining","IoT-enhanced event logs"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://web.wi2.uni-trier.de/publications/WI2Publikationen_IoT.bib","dataSources":["J3orK6zvpR7d8vDmC","MSp3DzP4ToPojqkFy","Td7BJ334QwxWK4vLW"],"keywords":["event logs","internet of things","process mining","iot-enhanced event logs"],"search_terms":["object","centric","core","metamodel","iot","enhanced","event","logs","bertrand","imenkamp","malburg","ehrendorfer","franceschetti","grüger","leotta","mangler","seiger","koschmider","rinderle-ma","weber","serral"],"title":"An object-centric core metamodel for IoT-enhanced event logs","year":2025}