Similarity assessment for scientific workflow clustering and recommendation

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• 作者：Zhangbing Zhou ; Zehui Cheng ; Yueqin Zhu
• 关键词：scientific workflow ; reuse and repurposing ; layer hierarchy ; graph ; skeleton ; recommendation
• 刊名：SCIENCE CHINA Information Sciences
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：59
• 期：11
• 全文大小：394 KB
• 刊物类别：Computer Science
• 刊物主题：Chinese Library of Science
  Information Systems and Communication Service
  
• 出版者：Science China Press, co-published with Springer
• ISSN：1869-1919
• 卷排序：59

文摘

This article proposes to identify and recommend scientific workflows for reuse and repurposing. Specifically, a scientific workflow is represented as a layer hierarchy that specifies the hierarchical relations between this workflow, its sub-workflows, and activities. Semantic similarity is calculated between layer hierarchies of workflows. A graph-skeleton based clustering technique is adopted for grouping layer hierarchies into clusters. Barycenters in each cluster are identified, which serve as core workflows in this cluster, for facilitating the cluster identification and workflow ranking and recommendation with respect to the requirement of scientists.