基于RDF的动态语义检索算法

A Dynamic Semantic Search Algorithm Based on RDF

在语义Web中,基于RDF,文章描述一个动态的语义检索算法(DSSAtheDynamicSemanticSearchAlgo-rithm),该算法通过分布式的资源相关库来发现动态资源之间的语义相关性,该算法不同于传统的语义检索算法,这是因为该算法引入了分布式的资源相关库,它是在用户进行语义查询的过程中动态建立起来的,随着资源的内容和状态的变化而不断变化,可以动态更新,最真实地反映资源的语义信息。文章确信该算法在保证查全率的基础上,会提高语义查询的查准率,并缩短返回查询结果的时间。

This paper describes a dynamic semantic search algorithm based on RDF in the Semantic Web.This algorithm finds semantic correlation among dynamic resources by a Distributed Resource Correlation Base(DRCB).It is different from traditional semantic search algorithms because it introduces a DRCB.DRCB is founded dynamically during user semantic search,can change with resources changes,can update dynamically.It reflects semantic information of resources truly.We have full assurance that the algorithm yields high precision rate and short feedback time of semantic search based on search recall rate.