APOTHEOSIS: An efficient approximate similarity search system
Huici, Daniel (Universidad de Zaragoza) ; Rodríguez, Ricardo J. (Universidad de Zaragoza) ; Mena, Eduardo (Universidad de Zaragoza)
Resumen: APOTHEOSIS is a tool for efficiently identifying and comparing data similarity in large datasets, addressing challenges faced by traditional methods such as scalability and speed. APOTHEOSIS overcomes them by combining advanced algorithms and data structures, enabling fast and accurate similarity analysis. Specifically, it uses a custom hierarchical small navigation world as an approximate -nearest neighbors search method, and approximate similarity digests algorithms to find common features between similar data items, also supporting various distance metrics beyond vector-based approaches. Our software tool is designed for seamless integration into research workflows, improving reproducibility and facilitating the comparison of large-scale, high-dimensional data comparison across multiple domains.
Idioma: Inglés
DOI: 10.1016/j.softx.2024.102016
Año: 2024
Publicado en: SoftwareX 29 (2024), 102016 [6 pp.]
ISSN: 2352-7110
Factor impacto JCR: 2.4 (2024)
Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 62 / 128 = 0.484 (2024) - Q2 - T2
Factor impacto SCIMAGO: 0.483 - Software (Q3) - Computer Science Applications (Q3)
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2020-113903RB-I00
Financiación: info:eu-repo/grantAgreement/ES/DGA/T21-23R
Financiación: info:eu-repo/grantAgreement/ES/DGA/T42-23R
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131115A-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
Exportado de SIDERAL (2025-09-22-14:52:09)
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Idioma: Inglés
DOI: 10.1016/j.softx.2024.102016
Año: 2024
Publicado en: SoftwareX 29 (2024), 102016 [6 pp.]
ISSN: 2352-7110
Factor impacto JCR: 2.4 (2024)
Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 62 / 128 = 0.484 (2024) - Q2 - T2
Factor impacto SCIMAGO: 0.483 - Software (Q3) - Computer Science Applications (Q3)
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2020-113903RB-I00
Financiación: info:eu-repo/grantAgreement/ES/DGA/T21-23R
Financiación: info:eu-repo/grantAgreement/ES/DGA/T42-23R
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131115A-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2025-09-22-14:52:09)
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Record created 2025-01-20, last modified 2025-09-23