一种基于语义网的相似度计算模型

在检索信息时我们经常简单的依靠关键词匹配,往往导致检索结果不全或者不准。随着语义网概念的提出,为我们提供了新的研究方向。本文在传统的计算句子相似度的基础上,提出了把语义网和改进的相似度计算方法相结合,并把该计算模型应用在依靠论文摘要来检索相关论文上。由于语义网的引入,使得搜索变得智能化,从简单的依靠关键词匹配提高到语义层面,从而提高了查全率和查准率。

A similarity model of abstract Based on Semantic Web

Information in the search we often rely on simple keyword matching, often lead to incomplete or are not allowed to retrieve. With the proposed concept of the Semantic Web provides us with a new research direction. Abstracts search application in accordance with the relevant papers, since the introduction of the Semantic Web, making the search becomes intelligent, increased reliance on key words from the simple to the semantic level, resulting in improved recall and precision.