Abstract | ||
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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. |
Year | DOI | Venue |
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2022 | 10.1007/978-3-031-14923-8_9 | International Conference on Case-Based Reasoning |
Keywords | DocType | Citations |
CBR architectures and frameworks,Cloud microservices,Semantic similarity,Ontologies | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ikechukwu Nkisi-Orji | 1 | 0 | 1.69 |
Palihawadana Chamath | 2 | 0 | 0.68 |
Nirmalie Wiratunga | 3 | 472 | 45.76 |
Corsar David | 4 | 0 | 0.68 |
Anjana Wijekoon | 5 | 0 | 5.07 |