Big data refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame. It is a massive, high-volume, high-volume data that requires new processing models to have stronger decision-making power, insight and discovery, process optimization capabilities, growth rate, and diversified information assets. This article aims to study the integration and optimization of ancient literature information resources of big data technology, that is, to integrate and optimize ancient literature information resources through big data technology and make the literature more systematic and complete, allowing readers to find and browse literature more conveniently. This paper focuses on the literary works and the related collation, annotation, and textual research results and divides the scope of each subtopic according to the genre. The biggest difference between the information platform built in this paper and the existing ancient books database is that it has the functions of semantic analysis, subject retrieval, data generation, and so on. After text learning, the computer can automatically classify related vocabulary. Based on the effective integration of big data and cultural resources, the experimental results of this article show that, so far, through technical optimization and resource integration, the number of ancient literature reincorporated has exceeded 12,000 copies, and more than 10,000 publications have been restored. Therefore, big data technology is essential for the integration and optimization of cultural resources.

中文翻译：

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基于大数据技术的古文献信息资源整合与优化

大数据是指在一定时间范围内无法用常规软件工具捕获、管理和处理的数据集合。它是海量、高容量、高容量的数据，需要新的处理模式才能拥有更强的决策力、洞察力和发现力、流程优化能力、增长率和多样化的信息资产。本文旨在研究大数据技术对古文献信息资源的整合与优化，即通过大数据技术对古文献信息资源进行整合与优化，使文献更系统、更完整，让读者查找和浏览文献。更方便。本文重点对文学作品及相关整理、注释、和考证结果，并根据体裁划分每个子​​主题的范围。本文构建的信息平台与现有古籍数据库最大的不同在于具有语义分析、主题检索、数据生成等功能。文本学习后，计算机可以自动对相关词汇进行分类。基于大数据与文化资源的有效整合，本文实验结果表明，截至目前，通过技术优化和资源整合，古文献收录量已超过12000册，修复出版物10000余篇。 . 因此，大数据技术对于文化资源的整合与优化必不可少。本文构建的信息平台与现有古籍数据库最大的不同在于具有语义分析、主题检索、数据生成等功能。文本学习后，计算机可以自动对相关词汇进行分类。基于大数据与文化资源的有效整合，本文实验结果表明，截至目前，通过技术优化和资源整合，古文献收录量已超过12000册，修复出版物10000余篇。 . 因此，大数据技术对于文化资源的整合与优化必不可少。本文构建的信息平台与现有古籍数据库最大的不同在于具有语义分析、主题检索、数据生成等功能。文本学习后，计算机可以自动对相关词汇进行分类。基于大数据与文化资源的有效整合，本文实验结果表明，截至目前，通过技术优化和资源整合，古文献收录量已超过12000册，修复出版物10000余篇。 . 因此，大数据技术对于文化资源的整合与优化必不可少。