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...The knowledge graph for macroeconomic analysis with alternative big data yucheng yang joint yue pang pku guanhua huang ustc and weinan e princeton november banca d italia federal reserve board conference motivation traditional models only have a handful of variables machine learning allows us to develop much more most papers put large number into statistical nowcasting factor model etc directly without understanding their relationships we need new system on relations among many economic design inputs this paper build kg linkages between introduction base that uses topology represent interlinked descriptions entities basic elements rdf triple form subject predicate object prominent application google search figure example einstein ji et al increase urban money migration supply wage worker shortage crude oil food price international decrease import agriculture relate labor demand inflation rate seasonal effect crop baseline deposit interest triples are extracted from academic literature ...