Semantic-based Process Mining and Analysis

Semantic-based Process Mining and Analysis What is it about?The work in this research proves that semantic-based process mining and analysis is a useful technique especially in solving some didactic issues and answering some questions with regards to ontology-based methods for automatic discovery of different patterns or behaviours within any given process domain. Why is it important?The work extracts streams of event logs from a any given process execution environment and then describe formats that allows for abstract mining and improved process analysis of the captured data sets and models. Technically, the method makes use of semantic annotations, or better still, process description languages to link elements within the events log and model (e.g. using the case study of the research learning process) with concepts that they represent in an ontology specifically designed for representing the process. The results show that a system which is formally encoded with semantic labelling (annotation), semantic representation (ontology) and semantic reasoning (reasoner) has the capacity to lift the process mining and analysis from the syntactic to a more conceptual level.Dr Kingsley Okoye (Author) University of East London