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Research on Intelligent Retrieval System for agricultural information resources based on ontology

文献类型： 外文期刊

作者： Qin, Xiaojing 1 ; Zhang, Hui 1 ; Zheng, Huaiguo 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Agr Informat & Econ, Beijing 100097, Peoples R China

期刊名称：2018 INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY

ISSN： 1742-6588

年卷期： 2019 年 1168 卷

页码：

收录情况： SCI

摘要： With the rapid development of computer technology and Internet, agricultural information resources are exploding. The traditional information retrieval based on keyword matching lacks semantic analysis ability and semantic extension ability, resulting in a large number of missed and false detection of retrieval resources and low retrieval efficiency. Based on the framework of Scientific and Technological Knowledge Organization (STKOS), this paper constructs the ontology of agricultural domain and applies domain ontology in semantic annotation, query extension and result sorting. On this basis, the paper constructs an intelligent retrieval system of agricultural information resources based on domain ontology, in order to improve the retrieval efficiency of agricultural information resources and improve user satisfaction.

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