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First Token Algorithm for Searching Compound Terms using Thesaurus Database

机译:使用词库数据库搜索复合词的第一种令牌算法

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Problem statement: Searching text materials was the one of the most important operations that carried out by search engines either on web or desktop applications, searching algorithms were required sometimes to find a specific word into a text, others to find a multi word term (pattern matching) into a text. Searching for term into a thesaurus database can be carried out using many searching algorithm such as brute-force algorithm and others. Approach: We addressed several issues concerning developing a searching algorithm that search terms into thesaurus database. Two exact algorithms were discussed and compared. The first algorithm, brute-force algorithm and the second one were proposed by this study to enhance brute-force algorithm. Results: We proposed an efficient search algorithm and compare it with brute force technique. Computational results showed that our algorithm can provide an efficient search algorithm that reduces the number of queries and the total time required to finish the required task. Conclusion: Our study showed an optimum solution for larger size of the studied problem with much less processing time than the brute-force algorithm. The modified algorithm has a higher efficiency to deal with Thesaurus Database searching problems.
机译:问题陈述:搜索文本材料是搜索引擎在Web或桌面应用程序上执行的最重要的操作之一,有时需要搜索算法才能在文本中找到特定的单词,而其他人则需要找到多单词的术语(模式匹配)转换为文本。可以使用许多搜索算法(例如蛮力算法等)将词条搜索到同义词库中。方法:我们解决了与开发将词条搜索到词库数据库中的搜索算法有关的几个问题。讨论并比较了两种确切的算法。本研究提出了第一种算法,蛮力算法和第二种算法,以增强蛮力算法。结果:我们提出了一种有效的搜索算法,并将其与蛮力技术进行了比较。计算结果表明,我们的算法可以提供一种有效的搜索算法,从而减少查询数量和完成所需任务所需的总时间。结论:我们的研究表明,对于较大的研究问题,比蛮力算法所需的处理时间少得多的最佳解决方案。改进后的算法处理词库数据库搜索问题的效率更高。

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