A new ontology knowledge storage method based on plane helix relation is presented . This method can reduce the complexity of query constructing, and improve the efficiency of query extension.
提出了基于平面螺旋关系的本体知识存储机制,降低了查询构造的复杂度,提高了查询扩展的效率。
参考来源 - 基于本体的机械产品领域智能信息检索系统研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Query log is a record of query behavior by a great quantity of users, it can Fred the related word list through mining the relation between query and query log, thus to realize the query extension.
用户查询日志是大量用户长期查询行为的记录，通过挖掘用户查询与用户日志之间的联系，构建相关词表，从而实现查询扩展。
The answer query mechanism is an extension to the standard.
回答查询机制是对标准的一种扩展。
This prevents attempts to disguise requests for dangerous file name extensions by putting a safe file name extension in the path information or query string portion of the URL.
的请求。这样可以防止通过将安全的文件扩展名放入url的路径信息或查询字符串部分，以达到伪装请求中的危险文件扩展名的企图。
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