【摘要】 本文从汉语言由字、词、句构成 ,同义词、缩略词大量使用 ,且表达意义的最小单位词与词之间没有空格这一有别于西文书写方法的特点出发 ,提出了一个基于Internet环境下应用数据仓库技术的适合中文条件输入的引擎模型 ,给出了输入字串转化为搜索词的划分方法。描述了其数据组织结构的内容和实现原理 ,构建出符合中文输入的搜索策略 ,并对实现算法进行了论述 ,从而达到搜索结果快捷、有效的目的。更多还原

【Abstract】 In this text, authors gave out a kind of the engine model according to characteristics of the Chinese language, which was different from English and other western-style languages; for example, it was composed of some wordages, vocables and sentences, a lot of synonyms and abbreviations were used in it, and there was not a space between the least unit of vocables and another. They also gave out a partitioned-means that a inputting-string translated into a searching-vocables. Then they described its data structure and realization principle, established a searching strategy to match inputting Chinese, and discussed the arithmetic. Thereby, they achieved a shortcut, effective goal to search.更多还原