语义智能检索在果品领域的应用

Application of Semantic Intelligence Retrieval in Fruits Domain

为了提高检索系统在果品领域信息检索的查全率、查准率和检索效率,提出了一种基于本体的语义智能检索系统结构,借助Protégé编辑工具,通过RDF资源描述语言,在领域专家的协助下实现了在农业果品领域中的应用.实验证明,该语义智能检索系统能够检索到与关键字语义相关的信息,如同义、近义及上下位关系,拓宽了关键字的语义,并在一定程度上解决了"信息过载".农业果品领域语义的描述及智能检索是构建和实现语义网在该领域应用的一次尝试性的探索.

At present,the key words are commonly used on internet to match the relative information. This method is time consuming and inaccurate. A novel ontology Based semantic intelligent retrieval system structure is proposed by editer hrotege. With the aid of domain experts, an expert system is Built in the apptication of agricultural fruits domain. The experiment proves that this semantic intelligent retrieval system can retrieve related information with the key words semantics, such as the synonym, closed meaning and context, which expands the key words semantics, and ＂the information overload＂ has been solved to a certain extent. Semantic description and the intelligent retrieval semantic Web are the meaningful exploration in the agricultural fruits domain.