Associating Event Logs with Ontologies for Semantic Process Mining and Analysis

Ossi Nykänen, Alejandro Rivero-Rodriguez, Paolo Pileggi, Pekka A. Ranta, Meri Kailanto, Juho Koro

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

    5 Citations (Scopus)
    76 Downloads (Pure)


    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.
    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 → …


    • event logs, maintenance analysis, ontologies, process mining

    Publication forum classification

    • Publication forum level 1


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