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What is knowledge in Industry 4.0?
https://kitami-it.repo.nii.ac.jp/records/2000232
https://kitami-it.repo.nii.ac.jp/records/2000232fe657b2d-e539-4f20-85b1-165b1ed4bbce
名前 / ファイル | ライセンス | アクション |
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Engineering Reports - 2020 - Ullah - What is knowledge in Industry 4 0.pdf (2.9 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||||
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公開日 | 2022-05-25 | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | What is knowledge in Industry 4.0? | |||||||
言語 | ||||||||
言語 | eng | |||||||
資源タイプ | ||||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||||
タイプ | journal article | |||||||
アクセス権 | ||||||||
アクセス権 | open access | |||||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||
著者 |
AMM Sharif Ullah
× AMM Sharif Ullah
|
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抄録 | ||||||||
内容記述タイプ | Abstract | |||||||
内容記述 | Industry 4.0 relevant systems (eg, cyber-physical systems, digital twins, and alike) need digitized knowledge to function. Before digitizing knowledge, a fundamental question arises: What is knowledge? In order to answer this question, this study first reviews the definitions of knowledge found in the extant literature of epistemology, engineering design, manufacturing, organization science, information science, and education science. Since the definitions reported so far are not succinct and suffer circularity, this study overcomes this by introducing a three-element-based definition of knowledge—a piece knowledge consists of three elements defined as claim, provenance, and inference. This results in four types of knowledge defined as definitional, deductive, inductive, and creative knowledge, and each type of knowledge is again divided into some categories. Some real-life scenarios relevant to engineering design and manufacturing are used to clarify the proposed knowledge types/categories; the relevant pieces of knowledge are represented by knowledge graphs (concept maps) for the sake of digitization. The myriad proximal and distal relationships between knowledge and other relevant entities (human/machine learning, logical inferences, experimental data, analytical results, creative thinking, and cognitive reflections) become succinct and transparent due to the proposed definition of knowledge. Consequently, this study establishes the fundamentals of developing sophisticated methods and tools for the advancement of Industry 4.0. |
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言語 | en | |||||||
書誌情報 |
en : Engineering Reports 巻 8, 号 2, p. e12217, 発行日 2020-08 |
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ISSN | ||||||||
収録物識別子タイプ | EISSN | |||||||
収録物識別子 | 2577-8196 | |||||||
DOI | ||||||||
識別子タイプ | DOI | |||||||
関連識別子 | https://doi.org/10.1002/eng2.12217 | |||||||
権利 | ||||||||
言語 | en | |||||||
権利情報 | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2020 The Authors. Engineering Reports published by John Wiley & Sons, Ltd. | |||||||
出版者 | ||||||||
言語 | en | |||||||
出版者 | John Wiley & Sons, Ltd. | |||||||
著者版フラグ | ||||||||
言語 | en | |||||||
値 | publisher | |||||||
出版タイプ | ||||||||
出版タイプ | VoR | |||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |