Authors:
Aicha Khannat
1
;
Hanae Sbai
2
and
Laila Kjiri
1
Affiliations:
1
AlQualsadi, Research Team ENSIAS, Mohammed V University of Rabat, Rabat, Morocco
;
2
FST Mohammedia, University Hassan II of Casablanca, Casablanca, Morocco
Keyword(s):
Configurable Process Model Discovery, Process Mining, Event Log, Ontology, Semantic.
Abstract:
Configurable process model represents a reference model regrouping multiple business process variants. The configurable process models offer various benefits like reusability and more flexibility when compared to business process models. The challenges encountered while managing this type of models are related to the creation and the configuration. Recently, process mining offers techniques to discover, check conformance of models, and enhance configurable process models using a collection of event logs, that captures traces during the execution of process variants. However, existing works in configurable process discovery lack the incorporation of semantics in the resulting model. Historically, semantic process mining has been applied to event logs to improve process discovery with respect to semantic. Furthermore, from the best of our knowledge, configurable process mining approaches do not fully support semantics. In this paper, we propose a novel method to enrich the collection o
f event logs with configurable process ontology concepts by introducing semantic annotations that capture variability of elements present in the logs. This is a first step towards discovering a semantically enriched configurable process.
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