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Fast rule mining in ontological knowledge bases with AMIE $$+$$ +
2015
The VLDB journal
Recent advances in information extraction have led to huge knowledge bases (KBs), which capture knowledge in a machine-readable format. Inductive Logic Programming (ILP) can be used to mine logical rules from these KBs, such as "If two persons are married, then they (usually) live in the same city". While ILP is a mature field, mining logical rules from KBs is difficult, because KBs make an open world assumption. This means that absent information cannot be taken as counterexamples. Our
doi:10.1007/s00778-015-0394-1
fatcat:pglv7afuwfdsrnew6kh5s6y4fa