Dr Ikechukwu Nkisi-Orji i.nkisi-orji@rgu.ac.uk
Chancellor's Fellow
Adapting semantic similarity methods for case-based reasoning in the Cloud.
Nkisi-Orji, Ikechukwu; Palihawadana, Chamath; Wiratunga, Nirmalie; Corsar, David; Wijekoon, Anjana
Authors
Mr Chamath Palihawadana c.palihawadana@rgu.ac.uk
Research Assistant
Professor Nirmalie Wiratunga n.wiratunga@rgu.ac.uk
Associate Dean for Research
Dr David Corsar d.corsar1@rgu.ac.uk
Senior Lecturer
Dr Anjana Wijekoon a.wijekoon1@rgu.ac.uk
Research Fellow B
Contributors
Mark T. Keane
Editor
Professor Nirmalie Wiratunga n.wiratunga@rgu.ac.uk
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 |
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