Web object information extraction based on generalized hidden Markov model

Due to the differences between Web page and plain text document, the concept of Web object is introduced in this paper. Besides, the supposed state transition and the emission symbol conditions are improved based on generalized hidden Markov model (GHMM), and a novel web objects information extraction method is proposed. Finally, through an example, it shows that the proposed method has a very high precision for Web objects information extraction.