This is a matter of querying the wordnet server starting from the search word , and following pointers to related words , and then continuing recursively 这就需要从检索词开始查询wordnet服务器，然后沿着相关词汇的指针递规地进行查询。
Search " china " matching the words from the end , " china " will appear at the end of the result , such as " the foreign companies china " 后方匹配， “中国”一词将永远出现在检索结果的最后，如“非常中国”输入检索词“中国”并在此选择
Search " china " matching the words from the beginning , " china " will appear at the beginning of the result , such as " china under reform " ， “中国”一词将永远出现在检索结果的最前面，如“中国哲学的精神”输入检索词“中国”并在此选择
The word ( s ) you enter in the search box will be searched against the title , author , subject abstract , series , sponsor and identifier fields of each item ' s record 您在检索框中输入的检索词将与条目中的题名、作者、主题词、摘要、系列号、资助者和标识符记录相匹配。
For this demonstration , i restrict the pointers to hyponyms , which has the effect of generally finding other words that represent more specific concepts related to the search word 本文中将指针限制为下义词（ hyponym ） ，一般而言就是查找与检索词有关的表示更具体概念的其他词汇。
Methods : using computer we searched thread of vip information chinese science and technology periodical database published from january 1994 to december 2003 with the key words of " heart , rehabilitation " 方法：应用计算机检索维普资讯中文科技期刊数据库1994 - 01 / 2003 - 12的相关文章，限定文章语言种类为中文，检索词“心脏康复” 。
This paper uses the authoritative data bank from all over the world to compare the undetected item that retrieval words of leakiness which flowed by " - " and greece alphabet in document retrieval , then discuss how to enhance the recall ratio and the precision ratio . by doing this , we can make more researchers to master the skill and let them to make contribution to scientific study 本文利用国内外的医学权威数据库,将医学文献中带“ ? ”和希腊字母的易漏检检索词,通过检索实例比较,探讨如何提高查全率和查准率,以让更多的科研人员掌握其检索技巧,从而更好地为科研服务。
After clustering of the documents , in the process of retrieval , we make a comparison between the retrieval words the users point out and cluster center of the documents , and as a result , achieve a cluster that is most similar to retrieval words . through the calculation of both the selected documents and those retrieval words , thence the retrieval range will be reduced , the efficiency of retrieval be increased , and the retrieval deviation be overcome to a certain extent 对文档进行了聚类，在检索的期间，对用户提出的检索词先进行和每一类的类心比较，得到与之最近的类别，仅将属于该类别中的文档与用户提出的检索词进行运算，从而缩小了检索的范围，提高了检索的效率，也在一定程度上克服了检索结果的偏差。
Li this part , the thesis first profiles semantic features of each document by employing chinese information processing technology in order to change documents into the form which can be operated with the help of mathematical methods . second , the thesis profiles each user ' s information needs by three ways : 1 ) accepting the information provided by the user himself ; 2 ) watching the user ' s retrieval action ; and 3 ) analyzing web server log . in this module , users are also classified into different categories according to their information needs 在用户建模中，系统从三方面获取用户信息需求特征，第一，用户主动地向系统提供需求信息；第二，系统检测用户检索行为，从用户检索词分析其需求；第三，系统通过分析web访问日志，得到用户的兴趣所在及兴趣的变化状况，并进一步利用对用户访问文档内容的分析来追踪其兴趣变化，将用户兴趣同样表示为兴趣特征向量，聚类相似用户。
