December 6–8, 2021, Online / Bangkok, Thailand
Link: https://www.ijckg.org/2021/
When | Dec 6, 2021 - Dec 8, 2021 |
Where | Online / Bangkok, Thailand |
Abstract Registration Due | Sep 24, 2021 |
Submission Deadline | Sep 30, 2021 |
Notification Due | Nov 8, 2021 |
Final Version Due | Nov 21, 2021 |
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.
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
•Abstract submission: 23:59 (Hawaii Time), September 24, 2021•Full paper submission: 23:59 (Hawaii Time), September 30, 2021•Acceptance Notifications: November 8, 2021•Camera Ready Submissions: 23:59 (Hawaii Time), November 21, 2021•Conference Date: December 6–8, 2021
Submissions to IJCKG 2021 should describe original, significant research on Knowledge Graphs. IJCKG 2021 will not accept submissions that are under review for or have already been published or accepted for publication in a journal or another conference (*).
* Non peer-reviewed documents such as theses, technical reports, publications on preprint servers (e.g. arXiv.org) or workshops papers without formal proceedings are not considered prior publications. In such cases, IJCKG 2021 authors are not precluded from submitting papers on the same topic by the same authors.
Submissions to IJCKG 2021 are expected to present their claimed research contribution, with clear, reproducible evidence to support their claims.
All submissions will be reviewed by at least three members of the Program Committee of the Research Track. To assess submissions, reviewers will judge their relevance to the conference, their originality, technical soundness and depth of their proposed approach, and the readability of the submission.
IJCKG 2021 submissions are not anonymous.
Submissions must be in PDF format, using the latest ACM Proceedings Format with the default 9pt font (see sample-sigconf.tex or Interim layout.docx from https://www.acm.org/publications/proceedings-template). Regular paper submissions must be no longer than 8 pages, excluding references. Short paper submissions must be no longer than 4 pages, excluding references. Unlimited additional pages may be used for references. Submissions that exceed this limit or that do not follow the indicated format may be rejected without review.
At least one author of each accepted paper must register for the conference and present the paper. The conference will primarily be held online.
Papers can be submitted electronically via EasyChair (https://easychair.org/conferences/?conf=ijckg2021).
A number of the best papers accepted to IJCKG 2021 will be recommended to a Special Issue of Knowledge-Based Systems on “Knowledge-Graph-Enabled Artificial Intelligence”.
•Aidan Hogan, DCC, University of Chile, Santiago, Chile•Thanaruk Theeramunkong, SIIT, Thailand•Haofen Wang, Tongji University, Shanghai, China
•Oscar Corcho, UPM, Spain•Thepchai Supnithi, NECTEC, NSTDA, Thailand•Xiaoyan Zhu, Tsinghua University, China
OpenKG
OpenKG(中文开放知识图谱)旨在推动以中文为核心的知识图谱数据的开放、互联及众包,并促进知识图谱算法、工具及平台的开源开放。
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