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

Abstract

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

3 Figures and Tables

Topics

  • Presentations referencing similar topics