Knowledge Graph Aided Similarity Evaluation for Scientific Workflow

HAN CUI, PENG SHI, TONG ZOU, LIAN-HONG DING

Abstract


This paper proposes a new scientific workflow similarity evaluation method. This method combines knowledge graph and the domain knowledge of scientific workflow entities. The input, output and process between them are treated separately. Different weights are identified to them. The whole similarity of two scientific workflows is calculated by the similarity of nodes and weights.

Keywords


Knowledge graph, Scientific workflow, Similarity evaluationText


DOI
10.12783/dtcse/cmso2019/33590

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