An Ontology-Based Information Retrieval Model for Vegetables E-commerce

摘要：

In order to improve the recall ratio and the precision radio of information retrieval engine in the vegetables e-commerce, an information retrieval model based on the vegetables e-commerce ontology is presented in this paper, which fully considers the features of domain ontology and Web information in the field of vegetables e-commerce. Vegetables ecommerce ontology was constructed by gathering and the analyzing vegetables e-commerce domain information on the web. The vegetables e-commerce ontology is composed of some kinds of vegetable classes and hierarchy relationship of vegetables classes. In the process of information retrieval, domain ontology helps to index information and information inference. An ontology-based information retrieval model is implemented, and it has more functions than the web information retrieval engine which based on keyword. The experimental data shows that the recall ratio and the precision ratio of ontology-based information retrieval model are higher than that of the information retrieval engine based on keyword at a certain extent. The recall ratio increases an average of about 11.9 percent, and the precision ratio increases an average of about 4.2 percent.

关键词： domain-ontology vegetables e-commerce information retrieval

作者: Tao Teng-yang Qian Ping Zhao Ming

作者单位: College of Information and Electrical Engineer, China Agricultural University, Beijing 100083,P.R.Ch Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.Ch

会议类型: 国际会议

会议名称: 2010 International Symposium on Agricultural Ontology Service(农业本体服务2010年国际学术研讨会)

会议地点: 北京

会议语种:英文

页码: 82-91

在线出版日期: 2010-10-30（万方平台首次上网日期，不代表论文的发表时间）