【摘要】 传统通用搜索引擎用于渔业信息检索存在返回结果的召回率和准确率较低的缺点,分析了产生这一问题的原因,阐述了本体的应用领域以及将本体用于渔业信息检索的可行性,用实例说明了渔业领域本体的构建过程;在此基础上提出基于本体的智能渔业信息检索系统体系结构,并用Java和Jena实现了该系统.实验结果表明,采用该体系结构的渔业专题检索系统召回率和准确率均优于通用检索系统.更多还原

【Abstract】 When the traditional search engine is used to query fishery information,both the recall and the precision are lower.The application of ontology is discussed. The feasibility that the ontology is used in fishery information retrieval is analyzed.Ontology-based intelligent fishery information retrieval architecture is presented.The architecture is implemented with Java and Jena.The experiment result shows that the architecture has better recall and precision than the traditional search system when the fishery information is queried.更多还原