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基于RDF的电子商务信息抽取技术研究
引用本文:张野,于湛麟,赵宏霞. 基于RDF的电子商务信息抽取技术研究[J]. 渤海大学学报(自然科学版), 2014, 0(3): 261-264
作者姓名:张野  于湛麟  赵宏霞
作者单位:1. 渤海大学 信息科学与技术学院,辽宁 锦州,121013
2. 渤海大学 管理学院,辽宁 锦州,121013
基金项目:国家自然科学基金项目(No71201012).
摘    要:在网络购物过程中,网站信息过于繁杂,用户很难快速地获取感兴趣的信息.信息抽取可以在一定程度上解决这个问题.提出一种基于RDF的信息抽取方法,将网页信息转换为DOM树,计算最大相关度子树,抽取用户感兴趣的信息.实验结果表明,具有较好的信息抽取性能.

关 键 词:RDF  信息抽取  电子商务

Research of e -commerce information extraction technology based on RDF
ZHANG Ye,YU Zhan-lin,Zhao Hong-xia. Research of e -commerce information extraction technology based on RDF[J]. Journal of Bohai University:Natural Science Editio, 2014, 0(3): 261-264
Authors:ZHANG Ye  YU Zhan-lin  Zhao Hong-xia
Affiliation:ZHANG Ye, YU Zhan - lin, Zhao Hong - xia(1. College of Information Science and Technology, Bohai University, Jinzhou 121013, China; 2. College of Management, Bohai University, Jinzhou 121013, China)
Abstract:With the rapid development of the electronic commerce which has also brought a lot of unavoida- ble problems. Information extraction may solve this problem in extent. This paper proposes a data to a DOM - Tree; calculate the maximum relevance sub -tree to identify query result, extracting the information which user interested in. The result of experiment prove that the method produces better performance.
Keywords:RDF  information extraction  E-commerce
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