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Social Network Supported Process Recommender System

Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into accou...

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Detalles Bibliográficos
Autores principales: Ye, Yanming, Yin, Jianwei, Xu, Yueshen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914351/
https://www.ncbi.nlm.nih.gov/pubmed/24672309
http://dx.doi.org/10.1155/2014/349065
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author Ye, Yanming
Yin, Jianwei
Xu, Yueshen
author_facet Ye, Yanming
Yin, Jianwei
Xu, Yueshen
author_sort Ye, Yanming
collection PubMed
description Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.
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spelling pubmed-39143512014-03-26 Social Network Supported Process Recommender System Ye, Yanming Yin, Jianwei Xu, Yueshen ScientificWorldJournal Research Article Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. Hindawi Publishing Corporation 2014-01-15 /pmc/articles/PMC3914351/ /pubmed/24672309 http://dx.doi.org/10.1155/2014/349065 Text en Copyright © 2014 Yanming Ye et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ye, Yanming
Yin, Jianwei
Xu, Yueshen
Social Network Supported Process Recommender System
title Social Network Supported Process Recommender System
title_full Social Network Supported Process Recommender System
title_fullStr Social Network Supported Process Recommender System
title_full_unstemmed Social Network Supported Process Recommender System
title_short Social Network Supported Process Recommender System
title_sort social network supported process recommender system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914351/
https://www.ncbi.nlm.nih.gov/pubmed/24672309
http://dx.doi.org/10.1155/2014/349065
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AT xuyueshen socialnetworksupportedprocessrecommendersystem