Content extraction from deep web interfaces

Locating deep websites and information fetching from large amount of hidden links from deep web sites to get useful information has become recent trend now a days. The efficiency of the information retrieval process and the coverage of targeted data has become a challenging issue due to dynamic and voluminous nature of web resources. Thus finding the information related to specific topic or a keyword from largely available web resources enables promising opportunities for information discovery. In this paper we propose a system that finds the links related to specific keyword and then it performs the in-site searching to get the deeply hidden links related to the topic under consideration and further extracts the data underlying these hidden web-links. Ranking is performed on the links derived at the intermediate level to get the most relevant data to keyword. The proposed system aims to efficiently locate and extract the data underlying deep web interfaces.