A Reasoning Based Knowledge Model for Business Process Analysis

Anne Füßl (), Franz Felix Füßl (), Volker Nissen () and Detlef Streitferdt ()
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Anne Füßl: Technische Universität Ilmenau
Franz Felix Füßl: iTech Solutions—Internet Technology Franz Felix Füßl
Volker Nissen: Technische Universität Ilmenau
Detlef Streitferdt: Technische Universität Ilmenau

A chapter in Digital Transformation of the Consulting Industry, 2018, pp 323-349 from Springer

Abstract: Abstract The article presents the ontology based knowledge model iKnow that can automatically draw conclusions and integrate aspects of machine learning. Due to the knowledge-intensive nature of the consulting industry, the abstract reasoning based knowledge model can be used specifically for knowledge processing and decision support within a consulting project. There is a multitude of potential applications for iKnow in the realm of consulting. Business process analysis was chosen as a pilot application, since many consulting projects in the problem analysis and problem solving phase, require a comprehensive knowledge of business processes. In this paper it is outlined how iKnow can be used for an automated analysis of business process models. We describe the basic structure of the knowledge model as a business process analyzing tool and present a suitable demonstration. It is worth mentioning that iKnow does not necessarily rely on log-files or other data input from process-supporting IT-systems. In this way, and through the generality of its ontology based structure and reasoning capabilities, it is far more broadly applicable than current process mining solutions.

Date: 2018
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DOI: 10.1007/978-3-319-70491-3_13

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