Name
Title | ||
|---|---|---|
Manufacturing Ontology Development Based on Industry 4.0 Demonstration Production Line |
Abstract | ||
|---|---|---|
The increasing pressures faced by manufacturers, the shortening of innovation cycles and the growing importance of high-efficiency manufacturing demand a higher versatility of factory automation. In order to achieve this target, engineering tasks currently performed manually need to be automated. In this case, ontologies emerge as a significant method for representing manufacturing knowledge in a machine-interpretable way. This knowledge can then be used by automated problem-solving methods to reconfigure the control software that coordinates and supervises manufacturing systems. Besides, Ontology can play a very important role in the process of creating as well as managing the knowledge. This paper addresses the important issues in developing domain-specific ontology for manufacturing used in industry 4.0 demonstration production line. A generic ontology is developed considering all the aspects about product from customized order to resulting production. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TSA.2016.17 | 2016 Third International Conference on Trustworthy Systems and their Applications (TSA) |
Keywords | DocType | ISBN |
factory automation, knowledge representation, | Conference | 978-1-5090-3540-3 |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haibo Cheng | 1 | 42 | 4.73 |
| Peng Zeng | 2 | 140 | 14.82 |
| Lingling Xue | 3 | 5 | 0.84 |
| Zhao Shi | 4 | 1 | 0.38 |
| Peng Wang | 5 | 31 | 8.02 |
| Haibin Yu | 6 | 201 | 25.62 |