摘要
基于关键词处理的传统检索技术会在检索过程中遗漏大量与检索概念相关或同义的内容。针对这种情况,提出了一种基于本体的Web信息检索模型。另外该模型通过解析语义文档并分析所需的概念属性之间的关系得到一定的相似度,并在检索过程中利用该相似度进行语义扩展。
Traditional retrieval technology is typically based on the keyword processing,which might omit massive correlation or synonymy concept in the retrieval process. The paper presents an ontology - based Web search engine prototype. Moreover, through analyzing the semantic documents it diseovered l the prototype tends to compute necessary properties and relationships between them to obtain a certain similarity. Then the prototype would apply the similarity to import the relevant concept into inquiry condition so as to expand semantic in the process of information retrieval.
出处
《微处理机》
2007年第4期116-119,共4页
Microprocessors
基金
天津市自然科学基金项目(043800411)
关键词
本体
语义检索
相似度
Ontology
Information retrieval
Similarity