Abstract: An approach based on DOM node type annotation was proposed to extract web page informational content.According to noise patterns in web page,we firstly classify DOM nodes into four types:text,image,anchor and ignorance ,and provide a method to calculate node degree of coherence(DoC).By adding two new attributes,type and DoC,to DOM node,we can select text nodes that have greater DoC than threshold during content extraction phase,and then integrate them as Web page informational content.In comparison to three other content extraction tools,the results show that in F1 index the proposed method is 95.1%,which is 0.3% higher than Evernote tool and 5.01% higher than YNote tool.

Key words: DOM,Node type annotation,Informational content extraction