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Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus
Wen, Jinfeng1,2; Zhou, Zhangbing1,3; Shi, Zhensheng4; Wang, Junping5,6; Duan, Yucong7; Zhang, Yaqiang1
Source PublicationIEEE ACCESS
2018
Volume6Pages:40530-40546
SubtypeArticle
AbstractConsidering the knowledge-intensity and error-prone of developing scientific workflows from scratch, reusing and repurposing current workflows are the effective and efficient solution to support scientists for conducting novel experiments, and this strategy is deemed as important to achieve the objective of smart campus. An experiment may be relevant with one or multiple scientific workflows. This observation drives us to propose a technique that can discover and recommend cross-workflow fragments with respect to the requirement of novel experiments. Specifically, the functionally similar activities are clustered through adopting a modularity-based community discovery clustering technique, and they are represented as abstract activities. An abstract activity network model is constructed accordingly to reflect the invocation relations among abstract activities. Structural and semantic similar workflow fragments are discovered from the abstract activity network through the sub-graph matching algorithm. These fragments are instantiated through replacing abstract activities by appropriate activities in certain activity clusters. These instantiated workflow fragments are ranked and recommended for their reuse and repurposing purpose. Experimental evaluation results demonstrate that our technique is accurate and efficient on discovering and recommending appropriate cross-workflow fragments.
KeywordScientific Workflow Community Discovery Clustering Abstract Activity Cross-workflow Fragment Recommendation
WOS HeadingsScience & Technology ; Technology
DOI10.1109/ACCESS.2018.2857482
WOS KeywordSERVICE COMPOSITION ; SENSOR-CLOUD ; BIG DATA ; SIMILARITY ; PATTERNS ; SYSTEMS ; SEARCH ; CITY
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61772479 ; Open Foundation of State key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications(SKLNST-2018-1-13) ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Beijing), China ; 61662021)
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000441868800018
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21827
Collection精密感知与控制研究中心_人工智能与机器学习
Affiliation1.China Univ Geosci Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
2.Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
3.TELECOM SudParis, Comp Sci Dept, F-91011 Evry, France
4.PetroChina Res Inst Petr Explorat & Dev, Langfang 065007, Peoples R China
5.Chinese Acad Sci, Inst Automat, Lab Precis Sensing, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Inst Automat, Control Ctr, Beijing 100190, Peoples R China
7.Hainan Univ, Coll Informat Sci & Technol, Haikou 570228, Hainan, Peoples R China
Recommended Citation
GB/T 7714
Wen, Jinfeng,Zhou, Zhangbing,Shi, Zhensheng,et al. Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus[J]. IEEE ACCESS,2018,6:40530-40546.
APA Wen, Jinfeng,Zhou, Zhangbing,Shi, Zhensheng,Wang, Junping,Duan, Yucong,&Zhang, Yaqiang.(2018).Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus.IEEE ACCESS,6,40530-40546.
MLA Wen, Jinfeng,et al."Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus".IEEE ACCESS 6(2018):40530-40546.
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