Main Component and Architecture of the Semantic-Based Process Mining and Analysis Framework (SPMaAF)

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Copyright: 2020
Pages: 10
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.ch003

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

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Abstract

This chapter describes the proposed semantic-based process mining and analysis framework (SPMaAF) and the main components applied for integration and ample implementation of the method. Technically, the conceptual method of analysis and how the book has designed the framework is explained in detail. The chapter also shows that the quality augmentation of the derived process models is as a result of employing process mining techniques that encodes the envisaged system with three rudimentary building blocks, namely semantic labelling (annotation), semantic representation (ontology), and semantic reasoning (reasoner).

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Main Component and Architecture of the Semantic-Based Process Mining and Analysis Framework (SPMaAF)

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