Data-knowledge co-driven innovations in engineering and management
Modern intelligent engineering and management scenarios require advanced data utilization methodologies. Here, we propose and discuss data-knowledge co-driven innovations that could address emerging challenges, and we advocate for the adoption of interdisciplinary methodologies in numerous engineering and management applications.
Authors
- Yingji Xia (ORCID: https://orcid.org/0000-0002-5928-8147)
- Xiqun Chen (ORCID: https://orcid.org/0000-0001-8285-084X)
- Sudan Sun
Institutions
- Zhejiang University (CN)
Publication Details
- Journal
- Patterns
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1016/j.patter.2024.101114
- Citations
- 2
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.69
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province