Skip to main content

Research Repository

Advanced Search

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

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

Authors



Contributors

Mark T. Keane
Editor

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

Conference Name 30th International conference on case-based reasoning (ICCBR 2022)
Conference Location Nancy, France
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
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