Knowledge Transformation for the Semantic Web (Frontiers in Artificial Intelligence and Applications, 95)

Recently the area of the Semantic Web has got significant importance within both academia and industries. As opposed to the current Web primarily dealing with textual information, the Semantic Web has to deal with conceptual and knowledge models. These models need to be translated between different languages, representations, and modeling paradigms to enable global model search, retrieval and composition. The book covers main issues in transforming vast majority of models to be used in the context of the Semantic Web: XML schemas, relational models, UML diagrams, RDF schemas, and ontologies. Different practical approaches are presented in the book as well as discussions on some theoretical issues that arise along the way.