基于语义骨架的查询扩展方法

Wensheng Yin, P. Tu, Fan Xu, Hengxi Zhang
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引用次数: 2

摘要

最常用的查询方法是关键字查询。通过关键词同义词、近义词和下义的扩展,可以大大提高文档的查全率,但查全率不一定会上升甚至下降。为了提高查询精度,必须采用基于语义骨架的查询扩展模式。短句来源通过对构成句子基本语义单元的基本成分的分析,指出表达句子基本语义的重要因素是句子的基本成分,它们构成了句子的语义骨架。当用户通过查询子句接口输入其搜索需求时,系统可以获取其语义骨架,并通过查询文档句子与语义骨架的匹配操作获得用户想要的文档。Keywords-information检索;查询扩展;语义查询;语义框架
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Query Expansion Method Based on Semantic Skeleton
The query method most commonly used is keywords query. The recall of document can be greatly improved through the expansion of synonymy, near-synonymy and hyponymy of keywords, but the precision may not always rise even to decline. In order to improve the precision, the mode of query expansion based on semantic skeleton must be used. Through analyzing the sentences, which are the components of basic semantic unit, this paper points out that the important factor to express the basic semantic meaning of the sentence is the basic components of sentence, which form the semantic skeleton of sentence. When users input their search requirements by query clause interface, the system can obtain their semantic skeleton, and obtain the documents desired by users through the match operation between the query document sentences and the semantic skeleton. Keywords-information retrieval; query expansion; semantic query; semantic skeleton
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