TY - GEN 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. AU - Jin, Zhi, AU - Jiang, Yuncheng, AU - Buchmann, Robert Andrei, AU - Bi, Yaxin, AU - Ghiran, Ana-Maria, AU - Ma, Wenjun, CN - QA76.76.E95 DO - 10.1007/978-3-031-40292-0 DO - doi ID - 1476007 KW - Knowledge acquisition (Expert systems) KW - Knowledge management KW - Decision making KW - Problem solving KW - Information technology KW - Data mining KW - Gestion des connaissances KW - Prise de décision KW - Technologie de l'information KW - Exploration de données (Informatique) LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40292-0 N1 - Includes author index. 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. SN - 9783031402920 SN - 3031402928 T1 - Knowledge science, engineering and management :16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings. TI - Knowledge science, engineering and management :16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings. UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40292-0 VL - 14120 ER -