A method of collecting and analyzing web data automatically
Trần Trọng Hòa, Quynh Trang Vu, Nobuyasu Nakajima · 2014
Currently, the web data is becoming discrete and straggler. Moreover, user requirements of collecting web data also are changed, sometimes so vague. That makes more difficulty for collecting data from web pages, costly and low efficiency. Base on the results of classifying user requirements, analyzing the web-data's organizations and the correlation between web data together, we propose methods to allow collecting web data, extracted and organize web data following topic or relative level. Our working result helps users to follow and capture efficiently information on the web.