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• W2803852157 abstract "We give a survey on recent advances at the forefront of research on probabilistic knowledge bases for representing and querying large-scale automatically extracted data. We concentrate especially on increasing the semantic expressivity of formalisms for representing and querying probabilistic knowledge (i) by giving up the closed-world assumption, (ii) by allowing for commonsense knowledge (and in parallel giving up the tuple-independence assumption), and (iii) by giving up the closed-domain assumption, while preserving some computational properties of query answering in such formalisms." @default.
• W2803852157 created "2018-06-01" @default.
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• W2803852157 date "2018-07-01" @default.
• W2803852157 modified "2023-10-12" @default.
• W2803852157 title "Recent Advances in Querying Probabilistic Knowledge Bases" @default.
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• W2803852157 doi "https://doi.org/10.24963/ijcai.2018/765" @default.
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