Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain

@inproceedings{Okoye2016SemanticBasedMA,
  title={Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain},
  author={Kingsley Okoye and Abdel-Rahman H. Tawil and Usman Naeem and Syed Islam and Elyes Lamine},
  booktitle={SoCPaR},
  year={2016}
}
Process mining results can be enhanced by adding semantic knowledge to the derived models. Information discovered due to semantic enrichment of the deployed process models can be used to lift process analysis from syntactic level to a more conceptual level. The work in this paper corroborates that semantic-based process mining is a useful technique towards improving the information value of derived models from the large volume of event logs about any process domain. We use a case study of… 
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State-of-the-Art Components, Tools, and Methods for Process Mining and Semantic Modelling
  • Computer Science, Biology
    Applications and Developments in Semantic Process Mining
  • 2020
TLDR
This chapter describes the state-of-the-art technologies, tools, and methods that are closely connected to the work done in this book and the different technologies that enable the practical application of the techniques.
Preliminaries
  • Biology
    Applications and Developments in Semantic Process Mining
  • 2020
TLDR
This chapter looks at the relevant tools and technologies that are related/applicable to the process mining and semantic modelling techniques to provide valuable information or insights that can be utilized to support the real-time processing or decision-making purposes.
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