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Critical Infrastructure systems (CIs) such as energy, water, transportation, and communication are highly interconnected and mutually dependent in complex ways. Robust modeling of CIs' interconnections is crucial to identify vulnerabilities in the CIs. We present a vision of national-scale Infrastructure Vulnerability Analysis System (IVAS) leveraging Semantic Big Data (SBD) tools, Big Data, and Geographical Information Systems (GIS) tools. We first survey existing approaches on vulnerabilitydoi:10.1145/2928294.2928295 dblp:conf/sigmod/LeeCDS16 fatcat:biolcgbtojcfja72ryoiqcj5ku