摘要
随着语义Web技术的广泛应用,如何实现在数据量大且形态各异的信息集中准确快速定位信息的需求成为热点问题,文中详细介绍在向量空间模型中引入语义概念对数据抽象建模为语义向量空间模型,根据每个特征项的权重计算向量间的语义相似度。随后分析该模型的利弊,针对其局限性提出基于本体模型的加权语义相似度度量方法。
This paper discusses in detail the vector space model with semantic concept for data abstraction modeling,to calculate the semantic similarity between vectors according to the weight of each term.Then analyzing the advantages and disadvantages of this model,the present study was designed to propose the method based on weighted ontology model to implement semantic similarity measurement.
出处
《电脑知识与技术》
2013年第8X期5513-5514,共2页
Computer Knowledge and Technology