TY  - GEN
N2  - This volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16-18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management.
DO  - 10.1007/978-3-031-40283-8
DO  - doi
AB  - This volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16-18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management.
T1  - Knowledge science, engineering and management :16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings.
AU  - Jin, Zhi,
AU  - Jiang, Yuncheng,
AU  - Buchmann, Robert Andrei,
AU  - Bi, Yaxin,
AU  - Ghiran, Ana-Maria,
AU  - Ma, Wenjun,
VL  - 14117
CN  - QA76.76.E95
N1  - Includes author index.
ID  - 1476006
KW  - Knowledge acquisition (Expert systems)
KW  - Knowledge management
KW  - Decision making
KW  - Problem solving
KW  - Information technology
KW  - Data mining
SN  - 9783031402838
SN  - 3031402839
TI  - Knowledge science, engineering and management :16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40283-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40283-8
ER  -