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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 through a set of common terms B extracted from A and C. In this paper, we report an application of an Inductive Logic Programming (ILP),doi:10.1109/cidm.2009.4938661 dblp:conf/cidm/ThaicharoenAGC09 fatcat:ilepo6mtirdhbd2ciwms6maafq