{"id":535,"date":"2019-11-12T14:51:36","date_gmt":"2019-11-12T06:51:36","guid":{"rendered":"http:\/\/nljrc.pk.njau.edu.cn\/?p=535"},"modified":"2019-11-12T14:51:36","modified_gmt":"2019-11-12T06:51:36","slug":"lecture-prof-zhangbing-zhou-china-university-of-geosciences-beijing","status":"publish","type":"post","link":"http:\/\/172.30.27.2\/index.php\/lecture-prof-zhangbing-zhou-china-university-of-geosciences-beijing\/","title":{"rendered":"Lecture \u2013 Prof. Zhangbing Zhou, China University of Geosciences (Beijing)"},"content":{"rendered":"<p style=\"text-align: center;\"><span style=\"font-size: 24px;\">Similarity\u00a0Assessment\u00a0for\u00a0Scientific\u00a0Workflow\u00a0Clustering\u00a0and\u00a0Recommendation<\/span><\/p>\n<p style=\"text-align: right;\"><span style=\"font-size: 14px;\"><strong><b>201<\/b><\/strong><strong><b>8<\/b><\/strong><strong><b>&#8211;<\/b><\/strong><strong><b>12<\/b><\/strong><strong><b>&#8211;<\/b><\/strong><strong><b>14<\/b><\/strong><strong><b>\u00a0<\/b><\/strong><\/span><\/p>\n<h3 id=\"mcetoc_1dpf61n9l0\" style=\"text-align: right;\"><span style=\"font-size: 14px;\">Mingfa Pearl Spring Hotel<\/span><\/h3>\n<p>\u62a5\u544a\u5185\u5bb9\uff1a<\/p>\n<p>With an increasing number of scientific workflows published at online repositories and publicly accessible through the Web, reuse and repurposing of best practices is of core importance when a novel scientific workflow is required to be developed for satisfying the requirement of scientists. To address this challenge, this article proposes an approach for identifying and recommending workflows for reference. Specifically, a scientific workflow is represented as a layer hierarchy, which specifies 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 refer to core workflows in this cluster, for facilitating cluster identification and workflow ranking and recommendation. Experimental evaluation shows that our technique is efficient and accurate on ranking and recommending appropriate clusters and workflows.<\/p>\n<p><img decoding=\"async\" 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