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KG@SAC 2022 : ACM SAC 2022 Track on Knowledge Graphs

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Link: https://sites.google.com/view/sac2022kg
 
When Apr 25, 2022 - Apr 29, 2022
Where Brno, Czech Republic
Submission Deadline Oct 24, 2021
Notification Due Dec 10, 2021
Final Version Due Dec 21, 2021
Categories    big data   data mining   information systems   artificial intelligence
 

Call For Papers

Submission deadline extended to Sunday, 24 October 2021.

CALL FOR PAPERS

ACM SAC 2022 Track on Knowledge Graphs
The 37th ACM/SIGAPP Symposium on Applied Computing
April 25 - April 29, 2022, Brno, Czech Republic
https://sites.google.com/view/sac2022kg

Knowledge graph is essentially the knowledge base of semantic web, which is composed of entities (nodes) and relations (edges). As the representation of semantics, knowledge graphs can readily-easily formulate real-world entities, concepts, attributes, as well as their relations. All the specific features of knowledge graphs make it born with strong expressive ability and flexible modelling ability. At the same time, as a special kind of graph data, knowledge graphs are both human-readable and machine-friendly. With effective knowledge representation approaches, a variety of tasks can be resolved, including knowledge extraction, knowledge integration, knowledge management, and knowledge applications. Therefore, knowledge graphs have been applied in various domains such as information retrieval, natural language understanding, question answering systems, recommender systems, financial risk control, etc. However, new challenges have emerged in the context of knowledge graphs from many perspectives including scalability, explainability, robustness, etc.

The track will bring together researchers and practitioners to discuss the fundamentals, methodologies, techniques, and applications of knowledge graphs. In this track, our goal is to contribute to the next generation of knowledge graphs and exploring them using artificial intelligence, data science, machine learning, network science, and other appropriate technologies.

Topics of interest include but not limited to:
-Foundations and understanding of knowledge graphs
-Models and algorithms for knowledge graph construction and representation
-Large-scale graph algorithms and theories
-AI for/over knowledge graphs
-Misinformation or disinformation
-Privacy and security
-Fairness, transparency, explainability, and robustness
-Datasets and benchmarking
-Knowledge graphs in various domains
-Innovative applications of knowledge graphs

IMPORTANT DATES
Submission deadline: October 24, 2021 [extended]
Notification to authors: December 10, 2021
Camera-ready copies of accepted papers: December 21, 2021
Author registration due date: December 21, 2021

SUBMISSION INSTRUCTIONS
Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review.

SAC 2022 accepts 1) Regular (Full) Papers, 2) Posters, and 3) Student Research Competition (SRC) Abstracts. Full papers are limited to 8 pages with the option for up to 2 additional pages. Posters are limited to 3 pages with the option for up to 1 additional page. Student Research Abstracts are limited to 4 pages, with no additional pages.

Submissions must be formatted according to the ACM SAC template. For detailed instructions for authors, see the Author Kit on the ACM SAC 2022 website (https://www.sigapp.org/sac/sac2022/). Please submit your papers via the SAC 2022 submission system. When submitting, select Track on Knowledge Graphs.

Track Chairs:
Feng Xia, Federation University Australia
Shuo Yu, Dalian University of Technology
Francesco Osborne, The Open University

Contact Info:
Email: acm-sac-kg@googlegroups.com

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