Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022).

Abstract

This volume contains the papers presented at the 30th International Conference on Case-Based Reasoning (ICCBR 2022), which was held during September 12–15, 2022, at LORIA in Nancy, France. ICCBR is the premier annual meeting of the Case-Based Reasoning (CBR) research community. The theme of ICCBR 2022 was "Global Challenges for CBR", aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. Specifically, we posed the question, "What can CBR do to meet these challenges?", encouraging submissions from our invited speakers, researchers, policy makers, or practitioners in the CBR community that are tackling these global challenges.

Citation

KEANE, M.T. and WIRATUNGA, N. (eds.) 2022. Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France. Lecture notes in computer science, 13405. Cham: Springer [online]. Available from: https://doi.org/10.1007/978-3-031-14923-8

• Presentation Conference Type: Edited Proceedings
• Conference Name: 30th International conference on case-based reasoning (ICCBR 2022)
• Start Date: Sep 12, 2022
• End Date: Sep 15, 2022
• Acceptance Date: May 30, 2022
• Online Publication Date: Aug 13, 2022
• Publication Date: Dec 31, 2022
• Deposit Date: Feb 23, 2023
• Publicly Available Date: Aug 14, 2023
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Series Title: Lecture notes in computer science (LNCS)
• Series Number: 13405
• Series ISSN: 0302-9743; 1611-3349
• ISBN: 9783031149221
• DOI: https://doi.org/10.1007/978-3-031-14923-8
• Keywords: Artificial intelligence; Case baseed reasoning; CBR; Computer networks; Computer science; Computer systems; Computer vision; Education; Engineering; Formal languages; Internet; Knowledge-based system; Linguistics; Machine learning; Mathematics; Ontologies
• Public URL: https://rgu-repository.worktribe.com/output/1755671
• Additional Information: The file accompanying this record is a representative chapter. The full work can be purchased from the publisher's website: https://link.springer.com/book/10.1007/978-3-031-14923-8