Integration and Optimization of Ancient Literature Information Resources Based on Big Data Technology

Lingling Gu,Sang-Bing Tsai

doi:10.1155/2021/6452418

Abstract

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.

Highlights

With the development of informatization, a large number of traditional paper literature resources are made into digital resources and stored in the library database, especially the precious classical literature resources
Due to the characteristics of a large number of such ancient literature information resources in the library and the dilemma that they cannot be effectively used, a data optimization technology is urgently needed to promote the effective use of information resources
Carrying out the integration and optimization of ancient literature information resources can improve the effective use of ancient literature information resources and promote the informatization construction of library resources

Summary

Introduction

With the development of informatization, a large number of traditional paper literature resources are made into digital resources and stored in the library database, especially the precious classical literature resources. Big data technology has broad application prospects in the integration and optimization of ancient literature information resources. Is paper mainly uses big data technology to integrate and optimize ancient literature information resources. 3. Experiments on the Integration and Optimization of Ancient Literature Information Resources Based on Big Data Technology. E 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. E existing database of ancient books is static and can only be searched in full text It cannot change the structure of the original data, and cannot automatically reorganize the original data and information to generate new knowledge information. Whether it is literature research, text analysis, or data statistics, we can use the information and data of the platform efficiently and quickly [27, 28]

Integration of Ancient Cultural Resources by Big Data Technology

Funding guarantee

Conclusions