Linked Data Views map relational data into RDF and allow customizing RDF representation of locally stored RDF data. To let SPARQL clients access relational data as well as physical RDF graphs in a single query, we introduce a declarative Meta Schema Language for mapping SQL Data to RDF Ontologies. As a result, all types of clients can efficiently access all data stored on the server. The mapping functionality dynamically generates RDF Data Sets for popular ontologies such as SIOC, SKOS, FOAF, and ATOM/OWL without disruption to the existing database infrastructure of Web 1.0 or Web 2.0 solutions. Linked Data Views are also suitable for declaring custom representation for RDF triples, e.g. property tables, where one row holds many single-valued properties.