中图分类号：TN919.5；TP391.1
文献标识码：A
DOI：10.16157/j.issn.0258-7998.200160
中文引用格式：淮晓永，韩晓东，高若辰，等. 一种自适应网页结构化信息提取方法[J].电子技术应用，2020，46(12)：97-102.
英文引用格式：Huai Xiaoyong，Han Xiaodong，Gao Ruochen，et al. An adaptive method for extracting structured information from web pages[J]. Application of Electronic Technique，2020，46(12)：97-102.

An adaptive method for extracting structured information from web pages

Abstract：In order to meet the needs of Internet information collection and mining, aiming at the problems of traditional web site information collection methods, such as mixed collection information, unable to be used directly, and the high cost and low efficiency of manual structured collection method, this paper proposes an adaptive method for extracting structured information from web pages. We implement web page classification algorithm, subtree based title item and content item structured information extraction algorithm. Based on the classification annotated dataset of typical website pages, the classification model can adapt to the differences of various web sites, classify the web pages, and extract the list structured information and content structured information in the web pages according to the web page classification. This technology plays an important role in improving the automation level and processing efficiency of website structured information collection and processing.

Key words :information extraction；structured information；classification model；adaptive