Temporal Conformance Checking at Runtime based on Time-infused Process Models

Stertz, Florian; Mangler, Juergen; Rinderle-Ma, Stefanie

doi:10.48550/arxiv.2008.07262

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…Many XES log files just store one event per executed activity, thus sensor readings could be attached to this event. Other available logs, such as [53], expose a custom finegrained life-cycle model, that anchors sensor readings to an event with special XES lifecycle:transition.…”

Section: An Xes-extension For Iot-enriched Event Logsmentioning

confidence: 99%

DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs

et al. 2023

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The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can monitor the changes in the environment and the humans involved in the processes. These sensors produce large amounts of discrete and continuous data streams, which hold the key to understanding the quality of the executed processes. However, to enable this understanding, it is needed to have a joint representation of the data generated by the process engine executing the process, and the data generated by the IoT sensors. In this paper, we present an extension of the event log standard format XES called DataStream. DataStream enables the connection of IoT data to process events, preserving the full context required for data analysis, even when scenarios or hardware artifacts are rapidly changing. The DataStream extension is designed based on a set of goals and evaluated by creating two datasets for real-world scenarios from the transportation/logistics and manufacturing domains.

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Section: An Xes-extension For Iot-enriched Event Logsmentioning

confidence: 99%

DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs

et al. 2023

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show abstract

“…Many XES log files just store one event per executed activity, thus sensor readings can be attached to this event. Other available logs, such as [36], expose a custom fine-grained life-cycle model, that anchors sensor reading to an event with special XES lifecycle:transition.…”

Section: An Xes-extension For Iot-enriched Event Logsmentioning

confidence: 99%

“…In IoT environments where business processes are executed, a large amount of procedural data is generated. The use of these can enable the development of innovative applications in process control [23,28,31], process conformance checking [11,35,36], or process enhancement [29], among others. Here, in particular, process mining techniques could be applied [23,31,32,38].…”

Section: Introductionmentioning

confidence: 99%

SensorStream: An XES Extension for Enriching Event Logs with IoT-Sensor Data

Grüger¹,

Malburg²,

Mangler³

et al. 2022

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Process management and process orchestration/execution are currently hot topics; prevalent trends such as automation and Industry 4.0 require solutions which allow domain-experts to easily model and execute processes in various domains, including manufacturing and health-care. These domains, in turn, rely on a tight integration between hardware and software, i. e., via the Internet of Things (IoT). While process execution is about actuation, i. e., actively triggering actions and awaiting their completion, accompanying IoT sensors monitor humans and the environment. These sensors produce large amounts of procedural, discrete, and continuous data streams, that hold the key to understanding the quality of process subjects (e. g., produced parts), outcome (e. g., quantity and quality), and error causes. Processes constantly evolve in conjunction with their IoT environment. This requires joint storage of data generated by processes, with data generated by the IoT sensors is therefore needed. In this paper, we present an extension of the process log standard format XES, namely SensorStream. SensorStream enables to connect IoT data to process events, as well as a set of semantic annotations to describe the scenario and environment during data collection. This allows to preserve the full context required for data-analysis, so that logs can be analyzed even when scenarios or hardware artifacts are rapidly changing. Through additional semantic annotations, we envision

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Temporal Conformance Checking at Runtime based on Time-infused Process Models

Cited by 2 publications

References 15 publications

DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs

DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs

SensorStream: An XES Extension for Enriching Event Logs with IoT-Sensor Data

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