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基于 PageRank 主题发现算法的学前教育多媒体资源

PageRank Topic Finder based Algorithm for Multimedia Resources in Preschool Education.

机构信息

Normal College, Eastern Liaoning University, Dandong, Liaoning 118000, China.

出版信息

Comput Intell Neurosci. 2022 Jul 20;2022:4173243. doi: 10.1155/2022/4173243. eCollection 2022.

DOI:10.1155/2022/4173243
PMID:35909855
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9329012/
Abstract

In traditional preschool education, it is time-consuming and laborious to acquire effective materials by using artificial search method. However, with the development of Internet technology, a variety of preschool education institutions or individuals have released their own preschool education resources on the Internet. At present, multimedia technology has been popularized in many schools, and it plays a more and more significant role in teaching. In preschool education teaching, teachers use multimedia resources not only conducive to improve children's learning efficiency but also make the teaching quality from the whole to a higher level. However, some kindergarten teachers rely too much on multimedia in teaching and do not effectively combine it with traditional teaching methods. Sometimes they even use video and related multimedia teaching resources throughout the class, which makes preschool children lack knowledge and knowledge. Therefore, this paper designs a multimedia resource retrieval system based on the theme of preschool education, which mainly achieves the extraction of multimedia resources from web pages and the analysis of multimedia-related text information. In order to design a high-performance topic search algorithm, we must first carry out page parsing, Chinese and English word segmentation, and other page preprocessing. The research results show that it is found that the text-based automatic classification of multimedia resources in preschool education and the filtering of multimedia noise in web pages can provide relevant personnel in the field of preschool education with the retrieval service of multimedia resources.

摘要

在传统的学前教育中,采用人工搜索的方法获取有效的资料既费时又费力。然而,随着互联网技术的发展,各种学前教育机构或个人已经在互联网上发布了自己的学前教育资源。目前,多媒体技术已经在许多学校得到普及,它在教学中发挥着越来越重要的作用。在学前教育教学中,教师使用多媒体资源不仅有利于提高孩子的学习效率,而且使教学质量从整体上提高到一个更高的水平。然而,一些幼儿园教师在教学中过于依赖多媒体,并没有有效地将其与传统教学方法相结合。有时他们甚至在整个课堂上使用视频和相关的多媒体教学资源,这使得学前儿童缺乏知识和常识。因此,本文设计了一个基于学前教育主题的多媒体资源检索系统,主要实现从网页中提取多媒体资源和分析多媒体相关文本信息。为了设计高性能的主题搜索算法,我们必须首先进行页面解析、中英文分词等页面预处理。研究结果表明,发现基于文本的学前教育多媒体资源自动分类和网页中多媒体噪声的过滤,可以为学前教育领域的相关人员提供多媒体资源的检索服务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/5ac34e21616c/CIN2022-4173243.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/d8869ab299b6/CIN2022-4173243.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/b3f565d74880/CIN2022-4173243.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/f39f1be2098e/CIN2022-4173243.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/babe62bc5a9d/CIN2022-4173243.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/3bf659f1d15e/CIN2022-4173243.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/b7bdae418f65/CIN2022-4173243.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/96e7a225447a/CIN2022-4173243.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/9296d4edb228/CIN2022-4173243.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/5ac34e21616c/CIN2022-4173243.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/d8869ab299b6/CIN2022-4173243.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/b3f565d74880/CIN2022-4173243.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/f39f1be2098e/CIN2022-4173243.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/babe62bc5a9d/CIN2022-4173243.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/3bf659f1d15e/CIN2022-4173243.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/b7bdae418f65/CIN2022-4173243.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/96e7a225447a/CIN2022-4173243.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/9296d4edb228/CIN2022-4173243.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672c/9329012/5ac34e21616c/CIN2022-4173243.009.jpg

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