TY  - GEN
N2  - This book constitutes the refereed proceedings of the 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, which took place in Qinhuangdao, China, in August 2022. The 25 full papers presented in this volume were carefully reviewed and selected from 42 submissions. CCKS technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, algorithms and systems, promote the technical development in the field of domestic knowledge, and the integration of academic achievements and industrial needs.
DO  - 10.1007/978-981-19-8300-9
DO  - doi
AB  - This book constitutes the refereed proceedings of the 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, which took place in Qinhuangdao, China, in August 2022. The 25 full papers presented in this volume were carefully reviewed and selected from 42 submissions. CCKS technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, algorithms and systems, promote the technical development in the field of domestic knowledge, and the integration of academic achievements and industrial needs.
T1  - CCKS 2022 -- Evaluation track :7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised selected papers /
DA  - 2022.
CY  - Singapore :
AU  - Zhang, Ningyu.
AU  - Wang, Meng.
AU  - Wu, Tianxing.
AU  - Hu, Wei.
AU  - Deng, Shumin.
VL  - 1711
CN  - QA76.5913
PB  - Springer,
PP  - Singapore :
PY  - 2022.
N1  - 4.3 Model Parameters and Result
N1  - Includes author index.
ID  - 1451811
KW  - Semantic computing
KW  - Knowledge representation (Information theory)
KW  - Big data
SN  - 9789811983009
SN  - 9811983003
TI  - CCKS 2022 -- Evaluation track :7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised selected papers /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8300-9
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8300-9
ER  -