基于RDF三元组的电子商务竞争者数据挖掘  

E-Commerce competitor mining based on RDF triples

作　　者：任秀春[1] 

机构地区：[1]渤海大学管理学院,辽宁锦州121013

出　　处：《电子设计工程》2017年第10期18-21,共4页Electronic Design Engineering

基　　金：国家自然科学基金(71502017)

摘　　要：越来越多的消费者通过互联网从事商务活动,电子商务的数据规模逐渐扩大。互联网上的商家希望了解竞争对手及其信息,以调整经营策略。提出一种利用RDF三元组的语义特征和结构特征来检测具有竞争关系的商家,利用淘宝网的商店数据,使用MapReduce作为处理可扩展性的工具。实验证明了基于RDF的电子商务竞争者数据挖掘的有效性。The scale of e-commerce data on [nternet has expanded day by day since consumers do business through websites more and more. Businesses on the Internet and its competitors want to know the information to adjust business strategy. Proposed to detect a competing business use of Taobao.com to deal with scalability using semantic and structural features RDF triples, MapReduce was used as a tool to deal with the scalability. The experiment show that the effectiveness of e-commerce competitors based on RDF data mining.

关 键 词：电子商务 RDF 数据挖掘 MAP REDUCE 

分 类 号：TN911[电子电信—通信与信息系统]