A Rule-Based Recommendation Approach for Business Process Modeling

Autor:	Han van der Aa, Christian Meilicke, Heiner Stuckenschmidt, Diana Sola
Rok vydání:	2021
Předmět:	Process modeling Computer science Process (engineering) business.industry Rule-based system Business process modeling Machine learning computer.software_genre Terminology Task (project management) Work (electrical) Transparency (graphic) Artificial intelligence business computer
Zdroj:	Advanced Information Systems Engineering ISBN: 9783030793814 CAiSE
Popis:	Business process modeling is a crucial, yet time-consuming and knowledge-intensive task. This is particularly the case when modeling a domain-specific process, which often requires the use of highly specialized terminology in a consistent manner. To alleviate these issues, the process modeling task can be supported by techniques that suggest how a model under development can be expanded. In this work, we provide such suggestions through a rule-based activity recommendation approach, which suggests suitable activities to be included at a user-defined position in a process model. A benefit of our rule-based work over other approaches is that it accompanies recommendations with explanations, providing additional transparency and trustworthiness to users. Furthermore, through comprehensive evaluation experiments on a large set of real-world process models, we show that our rule-based approach outperforms other methods, including an embedding-based one.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3e35e1ac34174f9b01204fcb37303546 https://doi.org/10.1007/978-3-030-79382-1_20 Zobrazit plný text záznamu