Discovering relational knowledge from two disjoint sets of literatures using inductive Logic Programming


Literature-based discovery for hypothesis generation is a subarea of text mining that aims to discover novel or previously-unknown knowledge from two complementary but disjoint (CBD) sets of literatures. The discovery approach is based on Swanson's discovery models where indirect connections between two disjoint sets of literatures A and C could be found… (More)
DOI: 10.1109/CIDM.2009.4938661

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