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2021 | OriginalPaper | Buchkapitel

Towards a Rule-Based Recommendation Approach for Business Process Modeling

verfasst von : Diana Sola

Erschienen in: Service-Oriented Computing – ICSOC 2020 Workshops

Verlag: Springer International Publishing

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Abstract

Business process modeling can be time-consuming and error-prone, especially for inexperienced users. For this reason, graphical editors for business process modeling should support users by providing suggestions on how to complete a currently developed business process model. We address this problem with a rule-based activity recommendation approach, which suggests suitable activities to extend the business process model that is currently edited at a user-defined position. Contrary to alternative approaches, rules provide an additional explanation for the recommendation, which can be useful in cases where a user might be torn between two alternatives. We plan to investigate how rule learning can be efficiently designed for the given problem setting and how a rule-based approach performs compared to alternative methods. In this paper we describe the basic idea, a first implementation and first results.

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Titel: Towards a Rule-Based Recommendation Approach for Business Process Modeling
verfasst von: Diana Sola
Verlag: Springer International Publishing
Buch: Service-Oriented Computing – ICSOC 2020 Workshops
Print ISBN: 978-3-030-76351-0

Electronic ISBN: 978-3-030-76352-7

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-76352-7_4

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