A reverse engineering approach for migrating data-intensive web sites to the Semantic Web
Buchtitel: Intelligent Information Processing, IFIP 17th World Computer Congress - TC12 Stream on Intelligent Information Processing, August 25-30, 2002, Montréal, Québec, Canada
Reihe: IFIP Conference Proceedings
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 formally describe the semantics of Web contents. In this paper we present an integrated and semi-automatic approach for generating shared-understandable metadata for data-intensive Web applications. This approach is based on mapping a given relational schema into an already existing ontology structure using a reverse engineering process. As a case study we present this style of a schema- and data-migration for our Institute web portal. The presented approach can be applied to a broad range of today's data-intensive Web sites.