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arXiv:2510.20837 (math)
[Submitted on 15 Oct 2025 ]

Title: Information retrieval in big data using cognitive approaches

Title: 基于认知方法的大数据信息检索

Authors:Santanu Acharjee, Ripunjoy Choudhury
Abstract: Due to the exponential growth of big data in this digital era, an advanced method for effective information retrieval becomes essential. The basic objective of this paper is to propose a topology-based method for cognitive information retrieval (CIR) in big data environments. By using concepts such as cognitive similarity distances, metric spaces, retrieval topologies, etc., this paper aims to propose the semantic alignment between user queries and document repositories. The paper also extends this approach to incorporate logical connectives in cognitive information retrieval.
Abstract: 由于大数据在这一数字时代的指数级增长,一种先进的有效信息检索方法变得至关重要。 本文的基本目标是提出一种基于拓扑结构的方法,用于大数据环境中的认知信息检索(CIR)。 通过使用认知相似性距离、度量空间、检索拓扑等概念,本文旨在提出用户查询与文档存储库之间的语义对齐。 本文还将这种方法扩展,以在认知信息检索中包含逻辑连接词。
Subjects: General Mathematics (math.GM)
MSC classes: 94A16, 68T09, 68P01, 68T27, 62R40, 30L15
Cite as: arXiv:2510.20837 [math.GM]
  (or arXiv:2510.20837v1 [math.GM] for this version)
  https://doi.org/10.48550/arXiv.2510.20837
arXiv-issued DOI via DataCite

Submission history

From: Santanu Acharjee [view email]
[v1] Wed, 15 Oct 2025 19:32:44 UTC (20 KB)
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