Personalized knowledge service approach for cloud manufacturing based on user behaviors

Ying Xin Li; Shi Kai Jing; Xiang Qian Li; Hong Fei Zhan; Jing Tao Zhou; Hai Cheng Yang; Hong Zhang; Xiang Feng Mou

doi:10.13196/j.cims.2015.03.030

Personalized knowledge service approach for cloud manufacturing based on user behaviors

Ying Xin Li, Shi Kai Jing^*, Xiang Qian Li, Hong Fei Zhan, Jing Tao Zhou, Hai Cheng Yang, Hong Zhang, Xiang Feng Mou

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

To improve the competence of personalized knowledge service and enhance the user viscosity in the cloud manufacturing platform, a personalized knowledge service method based on user behavior was presented under cloud manufacturing environment. Aiming at the characteristics of cloud manufacturing services, the architecture of personalized knowledge service in cloud manufacturing was built. The user behavior was analyzed based on ontology user behavior model. On this basis, the personalized knowledge filter was achieved by semantic analysis and knowledge evaluation. An application example was presented to prove the feasibility of the method.

Original language	English
Pages (from-to)	848-858
Number of pages	11
Journal	Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume	21
Issue number	3
DOIs	https://doi.org/10.13196/j.cims.2015.03.030
Publication status	Published - 1 Mar 2015

Keywords

Cloud manufacturing
Knowledge service
Personalized
User behaviors

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10.13196/j.cims.2015.03.030

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title = "Personalized knowledge service approach for cloud manufacturing based on user behaviors",

abstract = "To improve the competence of personalized knowledge service and enhance the user viscosity in the cloud manufacturing platform, a personalized knowledge service method based on user behavior was presented under cloud manufacturing environment. Aiming at the characteristics of cloud manufacturing services, the architecture of personalized knowledge service in cloud manufacturing was built. The user behavior was analyzed based on ontology user behavior model. On this basis, the personalized knowledge filter was achieved by semantic analysis and knowledge evaluation. An application example was presented to prove the feasibility of the method.",

keywords = "Cloud manufacturing, Knowledge service, Personalized, User behaviors",

author = "Li, {Ying Xin} and Jing, {Shi Kai} and Li, {Xiang Qian} and Zhan, {Hong Fei} and Zhou, {Jing Tao} and Yang, {Hai Cheng} and Hong Zhang and Mou, {Xiang Feng}",

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doi = "10.13196/j.cims.2015.03.030",

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T1 - Personalized knowledge service approach for cloud manufacturing based on user behaviors

AU - Li, Ying Xin

AU - Jing, Shi Kai

AU - Li, Xiang Qian

AU - Zhan, Hong Fei

AU - Zhou, Jing Tao

AU - Yang, Hai Cheng

AU - Zhang, Hong

AU - Mou, Xiang Feng

PY - 2015/3/1

Y1 - 2015/3/1

N2 - To improve the competence of personalized knowledge service and enhance the user viscosity in the cloud manufacturing platform, a personalized knowledge service method based on user behavior was presented under cloud manufacturing environment. Aiming at the characteristics of cloud manufacturing services, the architecture of personalized knowledge service in cloud manufacturing was built. The user behavior was analyzed based on ontology user behavior model. On this basis, the personalized knowledge filter was achieved by semantic analysis and knowledge evaluation. An application example was presented to prove the feasibility of the method.

AB - To improve the competence of personalized knowledge service and enhance the user viscosity in the cloud manufacturing platform, a personalized knowledge service method based on user behavior was presented under cloud manufacturing environment. Aiming at the characteristics of cloud manufacturing services, the architecture of personalized knowledge service in cloud manufacturing was built. The user behavior was analyzed based on ontology user behavior model. On this basis, the personalized knowledge filter was achieved by semantic analysis and knowledge evaluation. An application example was presented to prove the feasibility of the method.

KW - Cloud manufacturing

KW - Knowledge service

KW - Personalized

KW - User behaviors

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JF - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

IS - 3

ER -

Personalized knowledge service approach for cloud manufacturing based on user behaviors

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