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Semantic fuzzy mining: Enhancement of process models and event logs analysis

What is it about?

the semantic fuzzy mining approach is capable not just for representing information in formats that can be easily understood by humans, but also for building applications/systems that trails to inclusively process the information that they contain or supports.

Why is it important?

By the term semantic fuzzy mining (or better still - machine-understandable systems) - the extracted informations or models are either semantically labelled (annotated) to ease the analysis process, or represented in a formal structure (ontology) which allows a computer (e.g. the reasoner) to infer new facts by making use of the underlying relations.

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The following have contributed to this page:
Kingsley Okoye and Kingsley Okoye
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