We focus on the problem of semi-automated query discovery for XML views without requiring the intervention of an expert to guarantee a correct final result. Given multiple independent sources of heterogeneous XML data structures, our tool, SPHINX, lets a nave user define views using simple, example-based interaction. We show how federating view definitions may be represented using the version-space model. The benefits of having a meta-model of federating view definition include, first, integrating an active-learning method which removes from the user the burden of generating the examples. Second, we guarantee that SPHINX converges to a vetted, semantically accurate result, even if the user cannot understand a formal specification of the transformations
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