Towards a rule-based recommendation approach for business process modeling

Sola, Diana

Document Type: Conference or workshop publication
Year of publication: 2021
Book title: Service-oriented computing – ICSOC 2020 Workshops : AIOps, CFTIC, STRAPS, AI-PA, AI-IOTS, and Satellite Events, Dubai, United Arab Emirates, December 14-17, 2020 : proceedings
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 12632
Page range: 25-31
Conference title: ICSOC 2020
Location of the conference venue: online
Date of the conference: 14.12. - 17.12. 2020
Publisher: Hacid, Hakim
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-030-76351-0 , 3-030-76351-X, 978-3-030-76352-7, 3-030-76352-8
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
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.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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