Ontological based webpage segmentation

In World Wide Web, images come together with valuable surrounding contextual information such as texts. There are very few efforts performed to address problems in mining of the images with their surrounding contextual information; although this information has long been extracted for wide range of uses such as image annotation, clustering of images, inference of image semantic content and image indexing. In this proposal, a genuine ontology based webpage segmentation algorithm is developed for extracting web images with its associated contextual information according to its semantic characteristics (e.g. synonymous words) as they appear on webpages.