基于菱形思维的概念检索关键词扩展方法研究

The Research on Concept Retrieval Model Based on Rhombus-thinking Process

采用菱形思维方法解决问题的方式,构建基于本体的概念检索模型,给出关键词的物元发散式扩展和扩展词的量化收敛的算法,并设计相关的检验实验,证明该模型能够提高概念检索的查全率和查准率,解决术语中存在的"一义多词"和"一词多义"的问题,同时实现基于本体的检索推荐功能。

In this paper, the model of using rhombus -thinking method to solve retrieval problems is introduced into the Ontology - based concept retrieval model. This paper gives the algorithms of keywords＇ matter element divergent expansion and extended words＇ quantify convergence, and designs the experiment to prove that the model can improve concept retrieval recall rate and precision rate, and resolves the problem of synonym and polyseme in terms. At the same time, the Ontology- based retrieval recommended function is realized.