一种基于本体的语义检索算法

本体技术作为一种能在语义和知识层次上描述概念体系的有效工具,在数字图书馆得到了广泛的关注。给出了本体结构及其词法的形式化定义。为解决RDF在语义检索中存在的问题,利用Jena工具,提出了一种提取和处理RDF层本体处理方法,给出了一种基于本体的语义检索算法。算法基于软件工程的思想,忽略不同的本体语言、本体的RDF层集合间的差异。算法分五步骤进行,包括:将RDF层本体信息从网页中分离并构建RDF模型、对RDF模型进行集合运算、RDF层本体的查询、修正RDF层本体以及对RDF层本体的序列化。实验结果表明缩短了查询时间,提高了检索的查全率及查准率。

Method based on ontology of semantic retrieval

Ontology is an explicit specification of a conceptualization on semantics and knowledge.As an effective tool，it is widely used to build ontology based on thesauruses in the field of digital libraries.To solve the problem of RDF existing in the semantic retrieval，a new method is proposed which puts forward Jena based Web page ontology extracting and processing method on the common RDF level of ontology.An implementation algorithm based on RDF is given.The algorithm is based on the ideology of software engineering，neglects the grammar difference of the existing ontology language and the sets difference of the ontology RDF level.The algorithm is composed of five parts：extracting the RDF model，setting operation of the different RDF models，querying the RDF model，modifying the RDF model，and serialization of the RDF model.Finally the validity of the method is proved with a practical case.The results show that the searching time is shortened，the recall and precision are improved in the semantic retrieval.