Exploiting label semantics for rule-based activity recommendation in business process modeling
作者：
Highlights：
• A rule-based activity-recommendation approach to support business process modeling.
• Improved recommendations through the exploitation of natural language-based semantics.
• Learning and applying action and business-object patterns in the use of activity labels.
• Considering semantic similarity of actions and business objects.
• Experiments providing insights on the impact of different rule types.
摘要
•A rule-based activity-recommendation approach to support business process modeling.•Improved recommendations through the exploitation of natural language-based semantics.•Learning and applying action and business-object patterns in the use of activity labels.•Considering semantic similarity of actions and business objects.•Experiments providing insights on the impact of different rule types.
论文关键词：Process modeling,Activity recommendation,Rule learning,Semantic analysis
论文评审过程：Received 5 November 2021, Revised 30 March 2022, Accepted 1 April 2022, Available online 4 April 2022, Version of Record 11 April 2022.
论文官网地址：https://doi.org/10.1016/j.is.2022.102049
