Web Data Extraction by Using Trinity

Sayali Khodade, Nilav Mukharjee

Abstract: Internet presents a huge collection of useful information so extracting information from web document has become research area for which web data extractors are used. In this article we proposed technique which works on two or more web documents generated by same sever side template and learns a regular expression that models it and then used it for extracting data from similar documents. The technique introduces some shared pattern that do provide any relevant data. We have to compared our technique to others in the literature on large collection of web documents; our results determine that our proposal better than others and no negative impact on its effectiveness.

Keywords: Web Data Extraction, Automatic wrapper generation, Web Crawler, Unsupervised learning