Pipeline Repository for Process Mining on Unstructured Data

Organizations increasingly yield process data from unstructured sources (i.e., IoT sensors, videos, and text documents). However, methods for transforming this data into process mining insights remain scattered across diverse publication venues. This fragmentation hinders both researchers seeking open research questions and practitioners searching for applicable solutions. We present a collaborative web-based repository that consolidates methods, algorithms, and datasets for process mining on unstructured data. The repository is publicly available and invites community contributions to foster knowledge consolidation in this emerging research area.