Enhancing Semantic Interoperability in Healthcare using Semantic Process Mining

Semantic interoperability plays an important role in healthcare domain, essentially it concerns the action of sharing the meaning between the involved entities. The enterprises store all the execution processes data as event log files. The process mining method is one among the possible methods that enable the processes analysis behavior in order to understand, optimize and improve them. However, the standard process mining approaches analyze the process based only on the event log label strings, without consider the semantics behind this label. A semantic approach on the event logs might overcome this problem and could enable the use, reuse and sharing of the embedded knowledge. Most of the research developed in this area focuses on the process dynamic behavior or in clarifying the meaning of the event log label. Therefore, less attention has been paid in the knowledge injection perspective. In this context, the objective of this paper is to show a procedure to enhance the semantic interoperability through the semantic enrichment of event logs with domain ontologies and the application of a formal approach, named Formal Concept Analysis.

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