关键词: 信息抽取, 自动抽取, 商品规格信息, 电子商务

Abstract: The automatic mining of billions of product specification information in Web has important application value in many fields such as e-commerce market analysis, commodity recommendation, after-sales service and so on. But the current methods of specification extraction don’t effectively solve the balance between manual annotation workload, scalability and accuracy. This paper proposes the Title Seed Automatic Extract（TSAE） method, using unsupervised learning method, using the page title as seed, combining with statistical characteristics, natural and machine semantics, it achieves higher accuracy while reducing the workload, enhancing the scalability. The experimental results show that the TSAE method has better automatic extraction precision while providing good performance and expansibility, can support the massive data processing, has good practical value.

Key words: information extraction, automatic extraction, product specification, e-commerce