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作 者:Zhangbing ZHOU Zehui CHENG Yueqin ZHU
机构地区:[1]School of Information Engineering, China University of Geosciences (Beijing) [2]Computer Science Department, TELECOM Sud Paris [3]Development Research Center of China Geological Survey, and Key Laboratory of Geological Information Technology,Ministry of Land and Resources
出 处:《Science China(Information Sciences)》2016年第11期216-219,共4页中国科学(信息科学)(英文版)
基 金:supported partially by National Natural Science Foundation of China (Grant Nos. 61379126, 61662021)
摘 要: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 be- tween 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 workfiows in this cluster, for facilitating the cluster identification and workflow ranking and recommendation with respect to the requirement of scientists.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 be- tween 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 workfiows in this cluster, for facilitating the cluster identification and workflow ranking and recommendation with respect to the requirement of scientists.
关 键 词:scientific workflow reuse and repurposing layer hierarchy graph-skeleton RECOMMENDATION
分 类 号:TP391.3[自动化与计算机技术—计算机应用技术]
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