KGR4XAI 2023 : The 2nd International Workshop on Knowledge Graph Reasoning for Explainable Artificial Intelligence Miraikan, Tokyo, Japan
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Event Date: | December 09, 2023 - December 09, 2023 |
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Submission Deadline: | October 30, 2023 |
Notification of Acceptance: | November 13, 2023 |
Camera Ready Version Due: | November 20, 2023 |
Call for Papers |
== DEADLINE EXTENSION ==
Machine learning has promoted the application of artificial intelligence (AI) techniques to a wide variety of social problems. Accordingly, being able to explain the reason for an AI decision is becoming important to ensure the secure and safe use of AI techniques. On this background, for example, the Knowledge Graph Reasoning Challenge (KGRC) has been organized since 2018*, **. It aims to promote techniques for explainable AI using knowledge graphs. In this workshop, we would like to discuss a wider variety of knowledge graph reasoning technologies for explainable AI in various domains. Although one typical topic is to solve mystery stories in the KGRC, knowledge graphs and related technologies in other domains are also welcome. *Kawamura T. et al. (2020) Report on the First Knowledge Graph Reasoning Challenge 2018. In: Wang X., Lisi F., Xiao G., Botoeva E. (eds) Semantic Technology. JIST 2019. Lecture Notes in Computer Science, vol 12032. Springer, Cham. **International Knowledge Graph Reasoning Challenge (IKGRC2023) co-located with IEEE ICSC2023 [Workshop type] Hybrid [Topic of interest] Potential topics of interest include, but are not limited to: Reasoning on Knowledge Graphs Reasoning for Knowledge Graph construction and refinement, such as modeling, authoring, alignment, and completion Knowledge Graph Construction for reasoning Machine Learning on Knowledge Graphs Machine Learning for Knowledge Graph construction and refinement Explainable AI techniques using Knowledge Graphs Explainable AI techniques for Knowledge Graph construction and refinement Knowledge Graph construction and refinement using reasoning, Machine Learning and Explainable AI techniques Knowledge Graph construction and refinement for reasoning, Machine Learning and Explainable AI techniques Knowledge Graph application and platform using reasoning, Machine Learning and Explainable AI techniques Domain-dependent Knowledge Graph using reasoning, Machine Learning and Explainable AI techniques Semantic system and tool for reasoning, Machine Learning and Explainable AI techniques Ontology design and modelling for reasoning, Machine Learning and Explainable AI techniques Knowledge graph-enhanced large language models Semantic technologies for Generative AI The other topics combined above [Submission Guidelines] All papers must be original and not simultaneously submitted to another journal or conference. Submissions must be formatted in the style of CEURART ( https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-style/ ) 1-column style. The title should use the emphasizing capitalized style and the paper should not include page numbers. Submissions must be 8-16 pages, including references. (Short papers: 8 pages, Long papers: 16 pages) At least one author of each accepted paper must register for the IJCKG ( https://ijckg2023.knowledge-graph.jp/ ) conference and present the paper in the workshop. Papers can be submitted electronically via EasyChair ( https://easychair.org/my/conference?conf=kgr4xai2023 ). Accepted papers will be published on the workshop website. After the conference, the papers will be proposed for publishing at CEUR Workshop Proceedings. Papers for which authors do not register and present may be excluded from the proceedings. [Program Committee] Kouji Kozaki, Osaka Electro-Communication University, Japan Takahiro Kawamura, National Agriculture and Food Research Organization, Japan Marut Buranarach, National Electronics and Computer Technology Center, Thailand Shusaku Egami, National Institute of Advanced Industrial Science and Technology, Japan Ken Fukuda, National Institute of Advanced Industrial Science and Technology, Japan Kyoumoto Matsushita, Fujitsu, Japan Takanori Ugai, Fujitsu, Japan Janneth Chicaiza, Universidad Técnica Particular de Loja, Ecuador [Organizing Committee] Shusaku Egami, National Institute of Advanced Industrial Science and Technology, Japan Kouji Kozaki, Osaka Electro-Communication University, Japan Takahiro Kawamura, National Agriculture and Food Research Organization, Japan Boris Villazón-Terrazas, EY, Spain Marut Buranarach, National Electronics and Computer Technology Center, Thailand [Contact] Shusaku Egami, [email protected] |
Summary |
KGR4XAI 2023 : The 2nd International Workshop on Knowledge Graph Reasoning for Explainable Artificial Intelligence will take place in Miraikan, Tokyo, Japan. It’s a 1 day event starting on Dec 9, 2023 (Saturday) and will be winded up on Dec 9, 2023 (Saturday). KGR4XAI 2023 falls under the following areas: KNOWLEDGE GRAPHS, SEMANTIC WEB, ONTOLOGY, ARTIFICIAL INTELLIGENCE, etc. Submissions for this Workshop can be made by Oct 30, 2023. Authors can expect the result of submission by Nov 13, 2023. Upon acceptance, authors should submit the final version of the manuscript on or before Nov 20, 2023 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the KGR4XAI 2023
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Credits and Sources |
[1] KGR4XAI 2023 : The 2nd International Workshop on Knowledge Graph Reasoning for Explainable Artificial Intelligence |