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Associating Event Logs with Ontologies for Semantic Process Mining and Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationProceedings of the 19th International Academic Mindtrek Conference
Subtitle of host publicationAcademicMindTrek '15
Place of PublicationNew York, NY, USA
Number of pages6
ISBN (Print)978-1-4503-3948-3
Publication statusPublished - 2015
Publication typeA4 Article in a conference publication
EventMindtrek Conference -
Duration: 1 Jan 1900 → …


ConferenceMindtrek Conference
Period1/01/00 → …


Process mining uses various forms of event logs to extract process-related information, in order to discover, analyze conformance, or to enhance (business) processes. The vast majority of process mining applications are based on event logs with flat, keyword-based activity and resource descriptions. Many human-designed processes, however, are based on explicit workflow or lifecycle models with associated product models, both of which can be described using taxonomies or more complicated ontologies. This additional information can be used to analyze and visualize the processes with better insight of and improved formal access to the data. In this paper, we introduce a generic approach for enriching process mining using events logs with associated ontology structures. The main contribution and benefit of this approach lies in the ability to analyze the models in different abstraction levels, which greatly helps understanding complicated processes. Our main application areas are related to engineering and documentation processes.


  • event logs, maintenance analysis, ontologies, process mining

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