Abstract
New-generation intelligent manufacturing requires acquiring knowledge from manufacturing systems, using it to support decision-making, and developing cognitive and learning capabilities. To meet this demand, exploring the application of Manufacturing Knowledge Graph (MKG) becomes an inevitable trend in the future. To comprehensively understand the state-of-the-art of Manufacturing Knowledge Graph (MKG) and explore the frontier of its application development, the relevant research literature was collected and analyzed by bibliometrics method. The research showed that the application of MKG could be divided into three levels: semantic linking, qualitative decision-making and integrated decision-making. Several challenges in this field were summarized, and the potentials for further development of MKG were discussed.
| Translated title of the contribution | State-of-the-art and frontier of manufacturing knowledge graph application |
|---|---|
| Original language | Chinese (Simplified) |
| Pages (from-to) | 3720-3736 |
| Number of pages | 17 |
| Journal | Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
| Volume | 28 |
| Issue number | 12 |
| Publication status | Published - 31 Dec 2022 |
Keywords
- cognitive intelligence
- cognitive manufacturing
- intelligent manufacturing
- knowledge engineering
- knowledge graph
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Science Applications
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering