2026-06-25T14:05:37Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4522 2021-12-13T02:04:36Z 1582963302567:1597824273898 user-ucsy

Extracting Information Content from Web Pages Using Block Clustering Method Hlaing, Nwe Nwe Nyunt, Thi Thi Soe The World Wide Web is the main “allkind of information” repository and has been sofar very successful in disseminating to humans.As web sites are getting more complicated, theconstruction of web information extractionsystems becomes more difficult and timeconsuming. Therefore we need to mine the maincontent of web page in order to extractinformation from such web pages. In this paper,we study the problem of automaticallyextracting the web information (unsupervisedIE) without any learning examples or othersimilar human input. Firstly, web pages aresegment into several raw chunks. Then removethe noisy blocks based on product features.Data region identification is based on theobservation that appearance similarity of thedata record in web document. Therefore blockclustering method is proposed based on thisobservation. This approach requires no humanintervention and experimental results haveshown its accuracy to be promising. 2012-02-28 http://hdl.handle.net/20.500.12678/0000004522 https://meral.edu.mm/records/4522