Automated migration of data-intensive web pages into ontology-based semantic web: A reverse engineering approach

Abstract

The advance of the Web has significantly and rapidly changed the way of information organization, sharing and distribution. The next generation of the web, the semantic web, seeks to make information more usable by machines by introducing a more rigorous structure based on ontologies. In this context we try to propose a novel and integrated approach for an automated migration of data-intensive web pages into ontology-based semantic web and thus, make the web content machine-understandable. Our approach is based on the idea that semantics can be extracted from the structures and the instances of database forms which are the most convenient interface to communicate with relational databases on the current Web. This semantics is exploited to help build ontology. © Springer-Verlag Berlin Heidelberg 2005.