A Reverse Engineering Approach for Migrating Data-intensive Web Sites to the Semantic Web

The Semantic Web is intended to enable machine understandable web content and seems to be a solution for many drawbacks of the current Web. It is based on metadata that describe the formal semantics of Web contents. In this paper we present an integrated and semi-automatic approach for generating shared-understandable metadata of data intensive Web applications. This approach is based on mapping the given relational schema into already existing ontology structure using a reverse engineering process. As a case study we present this style of a schemaand data -migration for our Institute web portal. The presented approach can be applied to a broad range of today's data-intensive Web sites.