max planck institut
informatik
informatik
AMIE is a system that extracts supported and confident logical rules from a knowledge base (KB). Logical rules encode frequent correlations in the data. For example the rule:
?x <hasChild> ?c ?y <hasChild> ?c => ?x <isMarriedTo> ?y
states that people having children in common are frequently married. Logical rules have potential in a broad range of applications such as data prediction, irregularities detection, automatic schema generation, ontologies reconciliation, etc. AMIE can mine these patterns in medium-sized KBs, several orders of magnitude faster than state-of-the-art approaches to mine logical rules from KBs. The first application of AMIE uses logical rules to address the problem of incompleteness in KBs (particularly web-extracted KBs)