IOTEL: A Tool for Generating IoT-enriched Object-Centric Event Logs

2026-03-09

AI Summary

This work addresses the challenge of effectively integrating Internet of Things (IoT) data with business process event logs, which stems from their heterogeneous origins and differing levels of abstraction. Direct incorporation of raw IoT data often leads to excessive log complexity, thereby hindering process analysis. To overcome this, the paper proposes a structured fusion approach within the Object-Centric Event Log (OCEL) framework, introducing a mapping and integration mechanism that seamlessly embeds process-relevant IoT data into standard OCEL logs without requiring domain-specific schemas. The resulting IoT-enhanced event logs, generated by an extensible tool, are fully compatible with mainstream process mining tools. Empirical validation in real-world scenarios demonstrates the method’s effectiveness in enabling downstream process analysis and visualization.

Technology Category

• Data Mining & Knowledge Management: Intelligent Query Processing
• Application Domains: Internet of Things, Sensor Networks & Smart Cities
• Machine Learning: Time-Series/Data Streams

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Web Mining and Content Analysis: Web data integration and cleaning
• Security and Privacy: Data transparency and provenance

Abstract

Integrating Internet of Things (IoT) data with business process event logs is crucial for analysing IoT-enhanced processes, yet remains challenging due to differences in abstraction levels and the separation of data sources. Simply incorporating raw IoT data increases the size and complexity of the resulting log, often requiring additional processing before process analysis can be performed. While tools for generating IoT-enriched event logs exist, they either rely on specialised schemas or focus on extracting event logs from sensor data, offering limited support for integrating process-relevant IoT data into existing event logs. To address this gap, we present IOTEL, a tool for systematically generating IoT-enriched object-centric event logs (OCEL). By building on the OCEL schema, IOTEL enables structured IoT data integration compatible with existing process mining tools. It support practitioners and researchers in analysing IoT-enhanced business processes, as demonstrated in a real-world scenario. A video demonstrating the tool is available online.

Problem

• IoT integration
• event logs
• business process analysis
• object-centric
• process mining

Innovation

• IoT-enriched event logs
• object-centric process mining
• OCEL
• process mining
• IoT integration