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A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model

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A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model. / Peng, Gongzhuang; Wang, Hongwei; Zhang, Heming; Zhao, Yanwei; Johnson, Aylmer L.

In: Advanced Engineering Informatics, 05.01.2017.

Research output: Contribution to journalArticlepeer-review

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Peng, Gongzhuang ; Wang, Hongwei ; Zhang, Heming ; Zhao, Yanwei ; Johnson, Aylmer L. / A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model. In: Advanced Engineering Informatics. 2017.

Bibtex

@article{4e464e272c7a43c1bec0b84e181f8711,
title = "A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model",
abstract = "Current research on design knowledge capture and reuse has predominantly focused on either the codification view of knowledge or the personalisation view of knowledge, resulting in a failure to address designers{\textquoteright} knowledge needs caused by a lack of context of information and insufficient computational support. Precisely motivated by this gap, this work aims to address the integration of these two views into a complete, contextual and trustworthy knowledge management scheme enabled by the emerging collaborative technologies. Specifically, a knowledge model is developed to represent an integrated knowledge space, which can combine geometric model, knowledge-based analysis codes and problem-solving strategies and processes. On this basis, a smart collaborative system is also designed and developed to streamline the design process as well as to facilitate knowledge capture, retrieval and reuse as users with different roles are working on various tasks within this process. An engineering case study is undertaken to demonstrate the idea of collaborative knowledge creation and sharing and evaluate the effectiveness of the knowledge representation model and the collaborative technologies employed. As evidenced in the development and evaluation, the methods proposed are effective for capturing an integrated knowledge space and the collaborative knowledge management system not only facilitates problem-solving using knowledge-based analysis but also supplies in-context tacit knowledge captured from the communications between users throughout the design process. ",
author = "Gongzhuang Peng and Hongwei Wang and Heming Zhang and Yanwei Zhao and Johnson, {Aylmer L.}",
note = "12 months embargo.",
year = "2017",
month = jan,
day = "5",
doi = "10.1016/j.aei.2016.12.007",
language = "English",
journal = "Advanced Engineering Informatics",
issn = "1474-0346",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model

AU - Peng, Gongzhuang

AU - Wang, Hongwei

AU - Zhang, Heming

AU - Zhao, Yanwei

AU - Johnson, Aylmer L.

N1 - 12 months embargo.

PY - 2017/1/5

Y1 - 2017/1/5

N2 - Current research on design knowledge capture and reuse has predominantly focused on either the codification view of knowledge or the personalisation view of knowledge, resulting in a failure to address designers’ knowledge needs caused by a lack of context of information and insufficient computational support. Precisely motivated by this gap, this work aims to address the integration of these two views into a complete, contextual and trustworthy knowledge management scheme enabled by the emerging collaborative technologies. Specifically, a knowledge model is developed to represent an integrated knowledge space, which can combine geometric model, knowledge-based analysis codes and problem-solving strategies and processes. On this basis, a smart collaborative system is also designed and developed to streamline the design process as well as to facilitate knowledge capture, retrieval and reuse as users with different roles are working on various tasks within this process. An engineering case study is undertaken to demonstrate the idea of collaborative knowledge creation and sharing and evaluate the effectiveness of the knowledge representation model and the collaborative technologies employed. As evidenced in the development and evaluation, the methods proposed are effective for capturing an integrated knowledge space and the collaborative knowledge management system not only facilitates problem-solving using knowledge-based analysis but also supplies in-context tacit knowledge captured from the communications between users throughout the design process.

AB - Current research on design knowledge capture and reuse has predominantly focused on either the codification view of knowledge or the personalisation view of knowledge, resulting in a failure to address designers’ knowledge needs caused by a lack of context of information and insufficient computational support. Precisely motivated by this gap, this work aims to address the integration of these two views into a complete, contextual and trustworthy knowledge management scheme enabled by the emerging collaborative technologies. Specifically, a knowledge model is developed to represent an integrated knowledge space, which can combine geometric model, knowledge-based analysis codes and problem-solving strategies and processes. On this basis, a smart collaborative system is also designed and developed to streamline the design process as well as to facilitate knowledge capture, retrieval and reuse as users with different roles are working on various tasks within this process. An engineering case study is undertaken to demonstrate the idea of collaborative knowledge creation and sharing and evaluate the effectiveness of the knowledge representation model and the collaborative technologies employed. As evidenced in the development and evaluation, the methods proposed are effective for capturing an integrated knowledge space and the collaborative knowledge management system not only facilitates problem-solving using knowledge-based analysis but also supplies in-context tacit knowledge captured from the communications between users throughout the design process.

U2 - 10.1016/j.aei.2016.12.007

DO - 10.1016/j.aei.2016.12.007

M3 - Article

JO - Advanced Engineering Informatics

JF - Advanced Engineering Informatics

SN - 1474-0346

ER -

ID: 5569361