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Search Engine Application Using Fuzzy Relation Method for E-Journal of Informatics Departement Petra Christian University

机译:搜索引擎应用模糊关系法在电子信息学部门佩特拉基督教大学

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摘要

Nowadays, scientific articles are easily obtained, because many researchers who conduct research discover new things. However, the increasing number scientific articles is not accompanied by the availability of applications to assist in the search for relevant articles. Today, available search engine applications perform only a search process based on string matching of search terms. In this research, a search engine application based on keyword relevance by using fuzzy relationship was developed.udThis search engine application is built using PHP programming language and mysql as its database. Windows XP is used as the operating system. The used methods in fuzzy relationship are keyword used to paper, paper to paper, and paper to keywords and keyword to keyword. In addition, the components use d to convert pdf files into plain text format.udBased on the results of experiments conducted, the process of searching for the 25 articles takes less than 5 seconds. For the indexing process, it is influenced by the number of pages per article.
机译:如今,很容易获得科学论文,因为许多从事研究的研究人员发现了新事物。然而,越来越多的科学文章并没有伴随着辅助搜索相关文章的应用程序的可用性。如今,可用的搜索引擎应用程序仅基于搜索词的字符串匹配来执行搜索过程。在本研究中,开发了一种基于关键字相关性的模糊关系搜索引擎应用。 ud此搜索引擎应用是以PHP编程语言和mysql为数据库构建的。 Windows XP被用作操作系统。模糊关系中使用的方法有:关键字用于纸张,纸张至纸张,纸张至关键字和关键字至关键字。此外,组件使用d将pdf文件转换为纯文本格式。 ud基于进行的实验结果,搜索25篇文章的过程不到5秒。对于索引编制过程,它受每篇文章的页数影响。

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