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The ability to construct domain specific knowledge graphs (KG) and perform question-answering or hypothesis generation is a transformative capability. Despite their value, automated construction of knowledge graphs remains an expensive technical challenge that is beyond the reach for most enterprises and academic institutions. We propose an end-to-end framework for developing custom knowledge graph driven analytics for arbitrary application domains. The uniqueness of our system lies A) in itsdoi:10.1109/icde.2017.228 dblp:conf/icde/ChoudhuryAPZPST17 fatcat:g7kzogldv5ahdig7i7u5epmgda