This paper proposes a level-wise exploration of linked and big data guided by controlled vocabularies and folksonomies. We leverage techniques from both Reconstructability Analysis and cataloging and classification research to provide solutions that will structure and store large amounts of metadata, identify links between data, and explore data structures to produce
models that will facilitate effective information retrieval.