148607 20260126150157.0 doi 10.1016/j.softx.2024.102016 sideral 141938 ART-2025-141938 eng Huici, Daniel Universidad de Zaragoza APOTHEOSIS: An efficient approximate similarity search system 2025 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/AEI/PID2020-113903RB-I00 info:eu-repo/grantAgreement/ES/DGA/T21-23R info:eu-repo/grantAgreement/ES/DGA/T42-23R info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131115A-I00 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 2.4 2024 COMPUTER SCIENCE, SOFTWARE ENGINEERING 62 / 128 = 0.484 2024 Q2 T2 0.483 2024 Software 2024 Q3 Computer Science Applications 2024 Q3 4.2 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Rodríguez, Ricardo J. Universidad de Zaragoza (orcid)0000-0001-7982-0359 Mena, Eduardo Universidad de Zaragoza (orcid)0000-0002-7462-0080 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 29 (2025), 102016 [6 pp.] SoftwareX 2352-7110 791262 http://zaguan.unizar.es/record/148607/files/texto_completo.pdf Versión publicada 2192100 http://zaguan.unizar.es/record/148607/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:148607 articulos driver 2026-01-26-14:59:59 ARTICLE