Due to the increasing storage data on Web Applications, it becomes very difficult to use only keyword-based searches to provide comprehensive search results, thus increasing the difficulty for web users to search information on the web. In this paper, we proposed using a combined method of keyword-based and Regular expressions (regEx) searches to perform a search using strings of targeted items for optimal results even as the volume of data around the world on the Internet continues to explode. The idea is to embed regEx patterns as part of the search engine's algorithm in a web application project to provide strings related to the targeted items for more comprehensive coverage of search results. The user's search query is a string of characters guided by search boundaries selected from the entry point. The results returned from the search operation are different results within a category determined by the search boundaries. This is designed to be beneficial to a user who has an obscure idea about the information he/she wanted to search but knows the boundaries within which to get the information. This technique can be applied to data processing tasks such as information extraction and search refinement.
翻译:由于网上应用程序的存储数据越来越多,因此很难仅仅使用关键字搜索来提供全面搜索结果,从而增加网络用户在网上搜索信息的困难。在本文中,我们提议使用基于关键字和常规表达式(regEx)搜索的混合方法,使用目标项目字符串进行搜索,以取得最佳结果,即使互联网上全世界的数据量继续爆炸。想法是将RegEx模式作为搜索引擎算法的一部分嵌入一个网络应用程序项目,以提供与目标项目有关的字符串,从而更全面地覆盖搜索结果。用户的搜索查询是一组字符,由从输入点选择的搜索边界指导。搜索作业的结果在搜索边界确定的类别中是不同的。这样做是为了有利于对信息有模糊想法的用户,他/她想要搜索的信息,但知道获取信息的界限。这种技术可以应用于数据处理任务,例如信息提取和搜索改进。