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ORCID5th APWeb/WAIM Workshops 2020: Tianjin, China
- Qun Chen
, Jianxin Li:
Web and Big Data. APWeb-WAIM 2020 International Workshops - KGMA 2020, SemiBDMA 2020, DeepLUDA 2020, Tianjin, China, September 18-20, 2020, Revised Selected Papers. Communications in Computer and Information Science 1373, Springer 2021, ISBN 978-981-16-0478-2
Tutorials
- Md. Saiful Islam:
Neighborhood Query Processing and Surrounding Objects Retrieval in Spatial Databases: Applications and Algorithms. 3-13 - Yanfeng Zhang, Qiange Wang, Shufeng Gong:
Distributed Graph Processing: Techniques and Systems. 14-23
The Third International Workshop on Knowledge Graph Management and Applications
- Jing Zhang, Yukun Li, Yan Zhang, Yunbo Ye:
Method for Re-finding Mobile Phone Documents Based on Feature Knowledge Graph. 27-40 - Chunming Yang, Xinghao Song, Hui Zhang, Bo Li:
Knowledge Graph Embedding with Relation Constraint. 41-51 - Xiangwei Guo, Yongli Wang, Gang Xiao, Feifei Ma:
Knowledge-Driven Multi-dimensional Dialogue Rewriting Model. 52-65 - Xiang Zhao:
Towards Knowledge Graphs Federations: Issues and Technologies. 66-79
The Second International Workshop on Semi-structured Big Data Management and Applications
- Yuefeng Du, Tuoyu Yan, Xiaoli Li, Jiafan Zhou, Yang Wang, Jing Shan:
A Learning Interests Oriented Model for Cold Start Recommendation. 83-95 - Junlu Wang, Su Li, Wenyuan Ma:
A Composite Chain Structure Blockchain Storage Method Based on Blockchain Technology. 96-103 - Jieyue Ma, Xiaoli Li, Xin Zhang, Tingting Liu, Yuefeng Du, Tie Li:
Curriculum-Oriented Multi-goal Agent for Adaptive Learning. 104-115 - Xiaohuan Shan, Xiyi Shi, Wenyuan Ma, Junlu Wang:
Distributed Storage and Query for Domain Knowledge Graphs. 116-128
The First International Workshop on Deep Learning in Largescale Unstructured Data Analytics
- Guocheng Wang, Zhengyou Xia:
Label Propagation Algorithm Based on Topological Potential. 131-143 - Hao Liu, Jungang Xu:
LBNet: A Model for Judicial Reading Comprehension. 144-155 - Yulin Yang, Rize Jin, Caie Xu:
Deep Semantic Hashing for Large-Scale Image Retrieval. 156-168
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