摘要
为提高科学工作流建模的效率和智能性,针对现有科学工作流管理系统在支持流程建模方面的特点以及用户的交互式建模需求,提出一种面向交互式建模的科学工作流活动推荐方法。该方法以科学工作流库为起点,将科学工作流片段作为推荐参考模型,主要包括聚类预处理、匹配度计算等步骤,可根据构建中的科学工作流模型及用户建模需求,推荐合适的科学工作流活动。基于真实数据集的评估实验验证了该算法的有效性。
How to effectively recommend scientific workflow is a burning problem of importance. However, scientific workflow activity recommendation is ignored by most of existing researches. To facilitate scientific workflow design and improve its efficiency, by considering the characteristic of scientific workflow management system environment and user demand for interactive modeling, a method of scientific workflow activity recommendation for interactive modeling was proposed, which was named Scientific Workflow Activity Recommendation for interactive modeling(SWAR). It was started from scientific workflow repository and utilized scientific workflow fragments as reference models to provide recommendation in a context-sensitive manner. After clustering preprocessing scientific workflow fragments and computing the similarities between reference models and incomplete scientific workflow model, candidate scientific workflow activity set could be determined for recommendation. The result of experiments based on real datasets showed its effectiveness.
作者
文一凭
侯俊杰
谭铮
刘建勋
许小龙
WEN Yiping;HOU Junjie;TAN Zheng;LIU Jianxun;XU Xiaolong(Key Laboratory of Knowledge Processing and Networked Manufacture,Hunan University of Science and Technology,Xiangtan 411201,China;School of Computer and Software,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2022年第10期3115-3121,共7页
Computer Integrated Manufacturing Systems
基金
国家重点研发计划资助项目(2020YFB1707600)
国家自然科学基金资助项目(61402167,62177014)
湖南省自然科学基金资助项目(2018JJ2142)
湖南省教育厅资助项目(20B222)。
关键词
建模
科学工作流
工作流活动
推荐
modeling
scientific workflow
workflow activity
recommendation
作者简介
文一凭(1981-),男,湖南祁阳人,教授,博士,CCF会员,研究方向:工作流系统、数据挖掘、云计算与分布式处理,E-mail:ypwen81@gmail.com;侯俊杰(1997-),男,湖南桂阳人,硕士研究生,研究方向:科学工作流与智能推荐;谭铮(1997-),男,湖南娄底人,硕士研究生,研究方向:智能制造与工作流技术;刘建勋(1970-),男,湖南衡阳人,教授,博士,研究方向:云计算与服务计算、工作流技术与BPM等;许小龙(1988-),男,江苏南京人,教授,博士,研究方向:服务计算与边缘计算、工作流技术与BPM等。
