会议信息
IJCKG 2021: International Joint Conference on Knowledge Graphs
https://www.ijckg.org/2021/截稿日期: |
2021-09-24 |
通知日期: |
2021-11-08 |
会议日期: |
2021-12-06 |
会议地点: |
Bangkok, Thailand |
届数: |
10 |
浏览: 9913 关注: 2 参加: 0
征稿
The 10th International Joint Conference on Knowledge Graphs (IJCKG 2021, in cooperation with ACM/SIGAI) is a premium academic forum on Knowledge Graphs. The mission of IJCKG 2021 is to bring together international researchers in the Knowledge Graph community and other related areas to present their innovative research results or novel applications of Knowledge Graphs. IJCKG has evolved from the Joint International Semantic Technology Conference (JIST): a joint event for disseminating research results regarding the Semantic Web, Knowledge Graphs, Linked Data and AI on the Web.
Research Track
The IJCKG 2021 Research Track solicits submissions of original research work relating to Knowledge Graphs. Topics of interest include, but are not limited to:
Representation Learning for Knowledge Graphs
Knowledge Graph Embeddings
Graph Neural Networks
Knowledge Graph Construction
Knowledge Graph Population and Information Extraction
Knowledge Graph Completion
Knowledge Graph Quality Assessment and Refinement
Knowledge Representation and Semantic Reasoning
Graph Processing Frameworks
Graph Algorithms and Analytics
Ontologies and Reasoning
Semantic Search, Question Answering, and Chatbots
Graph Databases and Query Languages
Linked Data and Semantic Data Integration
Multimodal Knowledge Graphs
Contextualized Knowledge Graphs
Cross-modal Semantic Understanding
Trust, Privacy, and Security for Knowledge Graphs
Blockchain Technologies and Knowledge Graphs
Open and Enterprise Knowledge Graphs
Knowledge Graphs for Explainable AI
Novel Applications of Knowledge Graphs
最后更新 Dou Sun 在 2021-09-04
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相关期刊
| CCF | 全称 | 影响因子 | 出版商 | ISSN |
|---|---|---|---|---|
| b | Data & Knowledge Engineering | 2.6 | Elsevier | 0169-023X |
| b | Data Mining and Knowledge Discovery | 2.800 | Springer | 1384-5810 |
| c | International Journal of Knowledge Management | IGI Global | 1548-0666 | |
| b | Knowledge and Information Systems | 2.500 | Springer | 0219-1377 |
| c | Computers & Graphics | 2.500 | Elsevier | 0097-8493 |
| c | Knowledge-Based Systems | 7.2 | Elsevier | 0950-7051 |
| International Journal of Data Mining & Knowledge Management Process | AIRCC | 2231-007X | ||
| b | ACM Transactions on Knowledge Discovery from Data | 4.000 | ACM | 1556-4681 |
| c | International Journal of Software Engineering and Knowledge Engineering | World Scientific | 0218-1940 | |
| a | IEEE Transactions on Knowledge and Data Engineering | 8.9 | IEEE | 1041-4347 |
| 全称 | 影响因子 | 出版商 |
|---|---|---|
| Data & Knowledge Engineering | 2.6 | Elsevier |
| Data Mining and Knowledge Discovery | 2.800 | Springer |
| International Journal of Knowledge Management | IGI Global | |
| Knowledge and Information Systems | 2.500 | Springer |
| Computers & Graphics | 2.500 | Elsevier |
| Knowledge-Based Systems | 7.2 | Elsevier |
| International Journal of Data Mining & Knowledge Management Process | AIRCC | |
| ACM Transactions on Knowledge Discovery from Data | 4.000 | ACM |
| International Journal of Software Engineering and Knowledge Engineering | World Scientific | |
| IEEE Transactions on Knowledge and Data Engineering | 8.9 | IEEE |