To exploit the practically infinite data available on the Web, Turing Center has focused on efficient and open-domain techniques to extract information at scale. This vast amount of extracted information can potentially lead to information overload. Our current research focuses on organizing this information along several types of abstractions, as well as deducing meta-properties of various relations. I will briefly summarize the key ongoing projects in this talk.
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