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AMIE: association rule mining under incomplete evidence in ontological knowledge bases

WWW, pp.413-422, (2013)

Cited: 461|Views259
EI

Abstract

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 the KB. These rules can help deduce and add missing knowledge to the KB. While ILP is a mature field, mining logical rules from KBs...More

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