A crowdsourcing-based continuous enrichment method for industrial knowledge graph : achieving knowledge-as-a-service In smart manufacturing
The rapid development of the industrial internet of things (IIoT) enlightened more tools and techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the services based on pervasive IIoT products. However, the serviceability in the smart manufacturing environment is still l...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/153224 |
| _version_ | 1826117112425349120 |
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| author | Lyu, Mengtao |
| author2 | Chen Chun-Hsien |
| author_facet | Chen Chun-Hsien Lyu, Mengtao |
| author_sort | Lyu, Mengtao |
| collection | NTU |
| description | The rapid development of the industrial internet of things (IIoT) enlightened more tools and techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the services based on pervasive IIoT products. However, the serviceability in the smart manufacturing environment is still limited since most of the conventional services are conducted in a passively reactive mode. The knowledge as a service (KaaS) model is hence to be introduced to emphasize the cognitive capability by actively utilizing massive knowledge, where industrial knowledge graph (IKG) plays as the core to generate context-awareness and proactive services for the optimization of serviceability and productivity. Meanwhile, as building IKGs for specific industrial cases is still plagued by the small scale and the lack of continuous enrichment, ensuring the quality and availability of the IKG are still challenging.
Aiming to fill this gap with a practical and systematic approach, this study proposes a generic crowdsourcing approach for continuously evolving the IKG. Through the IKG continuous enrichment approach, IKG-enabled systems indicate the higher value creation ability to utilize knowledge as a kind of service, rather than just a kind of resource. To further illustrate the proposed approach, a case study of a printed circuit board (PCB) processing machine is given with discussions. As an explorative study, future perspectives are also discussed to attract more open and in-depth studies for more robust applications of IKG in the IIoT-driven smart manufacturing environment and other supply chain activities. |
| first_indexed | 2024-10-01T04:22:04Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/153224 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:22:04Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1532242023-03-11T18:09:06Z A crowdsourcing-based continuous enrichment method for industrial knowledge graph : achieving knowledge-as-a-service In smart manufacturing Lyu, Mengtao Chen Chun-Hsien School of Mechanical and Aerospace Engineering MCHchen@ntu.edu.sg Engineering::Industrial engineering::Supply chain Engineering::Industrial engineering::Information systems The rapid development of the industrial internet of things (IIoT) enlightened more tools and techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the services based on pervasive IIoT products. However, the serviceability in the smart manufacturing environment is still limited since most of the conventional services are conducted in a passively reactive mode. The knowledge as a service (KaaS) model is hence to be introduced to emphasize the cognitive capability by actively utilizing massive knowledge, where industrial knowledge graph (IKG) plays as the core to generate context-awareness and proactive services for the optimization of serviceability and productivity. Meanwhile, as building IKGs for specific industrial cases is still plagued by the small scale and the lack of continuous enrichment, ensuring the quality and availability of the IKG are still challenging. Aiming to fill this gap with a practical and systematic approach, this study proposes a generic crowdsourcing approach for continuously evolving the IKG. Through the IKG continuous enrichment approach, IKG-enabled systems indicate the higher value creation ability to utilize knowledge as a kind of service, rather than just a kind of resource. To further illustrate the proposed approach, a case study of a printed circuit board (PCB) processing machine is given with discussions. As an explorative study, future perspectives are also discussed to attract more open and in-depth studies for more robust applications of IKG in the IIoT-driven smart manufacturing environment and other supply chain activities. Master of Science (Supply Chain and Logistics) 2021-11-15T07:02:35Z 2021-11-15T07:02:35Z 2021 Thesis-Master by Coursework Lyu, M. (2021). A crowdsourcing-based continuous enrichment method for industrial knowledge graph : achieving knowledge-as-a-service In smart manufacturing. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/153224 https://hdl.handle.net/10356/153224 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Industrial engineering::Supply chain Engineering::Industrial engineering::Information systems Lyu, Mengtao A crowdsourcing-based continuous enrichment method for industrial knowledge graph : achieving knowledge-as-a-service In smart manufacturing |
| title | A crowdsourcing-based continuous enrichment method for industrial knowledge graph : achieving knowledge-as-a-service In smart manufacturing |
| title_full | A crowdsourcing-based continuous enrichment method for industrial knowledge graph : achieving knowledge-as-a-service In smart manufacturing |
| title_fullStr | A crowdsourcing-based continuous enrichment method for industrial knowledge graph : achieving knowledge-as-a-service In smart manufacturing |
| title_full_unstemmed | A crowdsourcing-based continuous enrichment method for industrial knowledge graph : achieving knowledge-as-a-service In smart manufacturing |
| title_short | A crowdsourcing-based continuous enrichment method for industrial knowledge graph : achieving knowledge-as-a-service In smart manufacturing |
| title_sort | crowdsourcing based continuous enrichment method for industrial knowledge graph achieving knowledge as a service in smart manufacturing |
| topic | Engineering::Industrial engineering::Supply chain Engineering::Industrial engineering::Information systems |
| url | https://hdl.handle.net/10356/153224 |
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