Adapting semantic similarity methods for case-based reasoning in the Cloud.

Nkisi-Orji, Ikechukwu; Palihawadana, Chamath; Wiratunga, Nirmalie; Corsar, David; Wijekoon, Anjana

Abstract

CLOOD is a cloud-based CBR framework based on a microservices architecture, which facilitates the design and deployment of case-based reasoning applications of various sizes. This paper presents advances to the similarity module of CLOOD through the inclusion of enhanced similarity metrics, such as word-embedding and ontology-based similarity measures. Being cloud-based, costs can significantly increase if the use of resources such as storage and data transfer are not optimised. Accordingly, we discuss and compare alternative design decisions, and provide justification for each chosen approach for CLOOD.

Citation

NKISI-ORJI, I., PALIHAWADANA, C., WIRATUNGA, N., CORSAR, D. and WIJEKOON, A. 2022. Adapting semantic similarity methods for case-based reasoning in the Cloud. In Keane, M.T. and Wiratunga, N. (eds.) 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], pages 125-139. Available from: https://doi.org/10.1007/978-3-031-14923-8_9

• Presentation Conference Type: Conference Paper (published)
• 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 14, 2022
• Publication Date: Aug 31, 2022
• Deposit Date: Jul 6, 2022
• Publicly Available Date: Aug 15, 2023
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 125-139
• Series Title: Lecture notes in computer science
• Series Number: 13405
• Series ISSN: 0302-9743 ; 1611-3349
• Book Title: Case-based reasoning research and development: proceedings of the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France
• ISBN: 9783031149221
• DOI: https://doi.org/10.1007/978-3-031-14923-8_9
• Keywords: Case-based reasoning; Cloud-based computing; Machine learning; CBR architectures and frameworks; Cloud microservices; Semantic similarity; Ontologies
• Public URL: https://rgu-repository.worktribe.com/output/1706158