Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications
Scientific workflow is a valuable tool for various complicated large-scale data processing applications. In recent years, the increasingly growing number of scientific processes available necessitates the development of recommendation techniques to provide automatic support for modelling scientific...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/4129063 |
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| _version_ | 1832550976758743040 |
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| author | Yiping Wen Junjie Hou Zhen Yuan Dong Zhou |
| author_facet | Yiping Wen Junjie Hou Zhen Yuan Dong Zhou |
| author_sort | Yiping Wen |
| collection | DOAJ |
| description | Scientific workflow is a valuable tool for various complicated large-scale data processing applications. In recent years, the increasingly growing number of scientific processes available necessitates the development of recommendation techniques to provide automatic support for modelling scientific workflows. In this paper, with the help of heterogeneous information network (HIN) and tags of scientific workflows, we organize scientific workflows as a HIN and propose a novel scientific workflow similarity computation method based on metapath. In addition, the density peak clustering (DPC) algorithm is introduced into the recommendation process and a scientific workflow recommendation approach named HDSWR is proposed. The effectiveness and efficiency of our approach are evaluated by extensive experiments with real-world scientific workflows. |
| format | Article |
| id | doaj-art-64059002b74447f3a31140109b0f22bb |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-64059002b74447f3a31140109b0f22bb2025-02-03T06:05:15ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/41290634129063Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex ApplicationsYiping Wen0Junjie Hou1Zhen Yuan2Dong Zhou3School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaScientific workflow is a valuable tool for various complicated large-scale data processing applications. In recent years, the increasingly growing number of scientific processes available necessitates the development of recommendation techniques to provide automatic support for modelling scientific workflows. In this paper, with the help of heterogeneous information network (HIN) and tags of scientific workflows, we organize scientific workflows as a HIN and propose a novel scientific workflow similarity computation method based on metapath. In addition, the density peak clustering (DPC) algorithm is introduced into the recommendation process and a scientific workflow recommendation approach named HDSWR is proposed. The effectiveness and efficiency of our approach are evaluated by extensive experiments with real-world scientific workflows.http://dx.doi.org/10.1155/2020/4129063 |
| spellingShingle | Yiping Wen Junjie Hou Zhen Yuan Dong Zhou Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications Complexity |
| title | Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications |
| title_full | Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications |
| title_fullStr | Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications |
| title_full_unstemmed | Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications |
| title_short | Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications |
| title_sort | heterogeneous information network based scientific workflow recommendation for complex applications |
| url | http://dx.doi.org/10.1155/2020/4129063 |
| work_keys_str_mv | AT yipingwen heterogeneousinformationnetworkbasedscientificworkflowrecommendationforcomplexapplications AT junjiehou heterogeneousinformationnetworkbasedscientificworkflowrecommendationforcomplexapplications AT zhenyuan heterogeneousinformationnetworkbasedscientificworkflowrecommendationforcomplexapplications AT dongzhou heterogeneousinformationnetworkbasedscientificworkflowrecommendationforcomplexapplications |