Method for Semantic Annotation and Lifting of Process Models

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Copyright: 2020
Pages: 33
Source title: Applications and Developments in Semantic Process Mining
Source Author(s)/Editor(s): Kingsley Okoye (University of East London, UK)
DOI: 10.4018/978-1-7998-2668-2.ch005

Keywords: Computer Science & IT / Data Mining and Databases / Information Science Reference / Semantic Web

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Abstract

The work done in this chapter demonstrates how the main components of the SPMaAF framework and sets of algorithms described earlier in Chapters 3 and 4, respectively, fit and rely on each other in achieving the semantic enhancement of the discovered process models. This is done by representing the models discovered through the standard process mining techniques as a set of annotated terms that links to or references the concepts defined within ontologies. It permits the process analysts to formally represent and analyse the several information in the underlying knowledge-bases in a more efficient and yet accurate manner. Henceforth, the conceptualisation method or tactics is allied to semantic lifting of the process models.

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Method for Semantic Annotation and Lifting of Process Models

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