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Knowledge bases are becoming increasingly important in structuring and representing information from the web. Meanwhile, webscale information poses significant scalability and quality challenges to knowledge base systems. To address these challenges, we develop a probabilistic knowledge base system, ARCHIMEDESONE, by scaling up the knowledge expansion and statistical inference algorithms. We design a web interface for users to query and update large knowledge bases. In this paper, wedoi:10.14778/3007263.3007284 fatcat:txierprif5e7djvqorulut6m3e