A web scraping app for smart literature search of the keywords.

IF 3.5 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE PeerJ Computer Science Pub Date : 2024-10-31 eCollection Date: 2024-01-01 DOI:10.7717/peerj-cs.2384
Muhammed Ali Mutlu, Eyup Emre Ulku, Kazim Yildiz
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引用次数: 0

Abstract

Detailed literature search and writing is very important for the success of long research projects, publications and theses. Search engines provide significant convenience in research processes. However, conducting a comprehensive and systematic research on the web requires a long working process. In order to make literature searches effective, simple and comprehensive, various libraries and development tools have been created and made available. By using these development tools, research processes that may take days can be reduced to hours or even minutes. Literature review is not only necessary for academic studies, but it is a process that should be used and performed in every field where new approaches are adopted. Literature review is a process that gives us important ideas about whether similar studies have been conducted before, which methods have been used before and what has not been addressed in previous studies. It is also of great importance in terms of preventing possible copyright problems in future studies. The main purpose of this study is to propose an application that will facilitate, speed up and increase the efficiency of literature searches. In existing systems, literature searches are performed by browsing search sites or various article sites one by one and using the search tools provided by these sites. It is simple to use, allows the entire World Wide Web environment to be searched, and provides the user with the search findings. In this study, we have implemented an application that allows the crawling of the entire World Wide Web environment, is very simple to use, and quickly presents the crawl findings to the user.

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一个网络抓取应用程序的智能文献搜索的关键字。
详细的文献检索和写作对于长期研究项目、出版物和论文的成功是非常重要的。搜索引擎为研究过程提供了极大的便利。然而,对网络进行全面而系统的研究需要一个漫长的工作过程。为了使文献检索有效、简单和全面,各种各样的库和开发工具已经被创建和提供。通过使用这些开发工具,可能需要几天的研究过程可以减少到几小时甚至几分钟。文献综述不仅是学术研究的必要条件,而且是每一个采用新方法的领域都应该使用和执行的过程。文献回顾是一个重要的过程,它可以让我们了解以前是否进行过类似的研究,以前使用过哪些方法,以前的研究中没有解决什么问题。在今后的研究中,对防止可能出现的版权问题也具有重要意义。本研究的主要目的是提出一个应用程序,将方便,加快和提高效率的文献检索。在现有的系统中,文献搜索是通过逐一浏览搜索网站或各种文章网站,并使用这些网站提供的搜索工具来完成的。它使用简单,允许搜索整个万维网环境,并为用户提供搜索结果。在本研究中,我们实现了一个应用程序,该应用程序允许对整个万维网环境进行爬行,使用非常简单,并快速将爬行结果呈现给用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PeerJ Computer Science
PeerJ Computer Science Computer Science-General Computer Science
CiteScore
6.10
自引率
5.30%
发文量
332
审稿时长
10 weeks
期刊介绍: PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.
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