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The increasing amount and variety of open and crowdsourced data available in the web leads to new challenges in end-user focused data analysis. This data is characterized by a great structural diversity which causes serious problems regarding their integration. On the other site there is a lack of end-user friendly tools to make productive use of the data available on the web. We want to address the first problem by developing a schema-optional graph-based data model that enables incremental schema augmentation and evolution. The second problem should be adressed by a multi-layered domain-specific language for data mashup construction on schema-optional data.