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SCIENCE CHINA Information Sciences, Volume 59, Issue 11: 113101(2016) https://doi.org/10.1007/s11432-015-0934-9

Similarity assessment for scientific workflow clustering and recommendation

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  • ReceivedMay 18, 2016
  • AcceptedAug 22, 2016
  • PublishedOct 14, 2016

Abstract

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.


Acknowledgment

Acknowledgments

This work was supported partially by National Natural Science Foundation of China (Grant Nos. 61379126, 61662021).


References

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