摘要
在文献检索系统中,检索需求通过关键词来描述,关键词对检索需求的覆盖程度决定了检索结果能否满足检索需求。为了改善检索需求的提炼过程,提高关键词对检索需求的覆盖程度,描述一种基于概念扩展的文献检索系统的设计与实现。与传统的文献检索系统相比,该系统具备关键词概念扩展的能力,该系统能够基于百科网页自动构建概念网络,通过概念相似度计算从概念网络中选择与关键词最相近的概念进行关键词的概念扩展,以此来改善检索需求的提炼、提高对检索需求的覆盖,从而达到优化检索体验的目的。
In the literature retrieval system, the retrieval requirement is described by keyword, and the coverage of the retrieval requirement will de- termine whether the retrieval results can meet the needs of the search. In order to improve the extraction process and the coverage of re- trieval requirement, designs and implements a literature retrieval system based on concept extension. Compared with the traditional litera- ture retrieval system, the system has the ability to expand the keywords by using concept network. Aiming to improve the extraction pro- cess, the coverage of retrieval requirement as well as optimizing retrieval experience, the system can automatically construct the concept network based on the encyclopedias web page, extends keywords by selecting the concepts from concept network which are the most simi- lar to the keywords.
出处
《现代计算机》
2015年第19期52-54,共3页
Modern Computer
关键词
文献检索
检索优化
概念网络
概念相似度
概念扩展
系统设计
Literature Retrieval
Retrieval Optimization
Concept Network
Concept Similarity
Concept Extension
System Design
