Author: Lajus, Jonathan; Galárraga, Luis; Suchanek, Fabian
Title: Fast and Exact Rule Mining with AMIE 3 Cord-id: 2m8qag71 Document date: 2020_5_7
ID: 2m8qag71
Snippet: Given a knowledge base (KB), rule mining finds rules such as “If two people are married, then they live (most likely) in the same placeâ€. Due to the exponential search space, rule mining approaches still have difficulties to scale to today’s large KBs. In this paper, we present AMIE 3, a system that employs a number of sophisticated pruning strategies and optimizations. This allows the system to mine rules on large KBs in a matter of minutes. Most importantly, we do not have to resort to a
Document: Given a knowledge base (KB), rule mining finds rules such as “If two people are married, then they live (most likely) in the same placeâ€. Due to the exponential search space, rule mining approaches still have difficulties to scale to today’s large KBs. In this paper, we present AMIE 3, a system that employs a number of sophisticated pruning strategies and optimizations. This allows the system to mine rules on large KBs in a matter of minutes. Most importantly, we do not have to resort to approximations or sampling, but are able to compute the exact confidence and support of each rule. Our experiments on DBpedia, YAGO, and Wikidata show that AMIE 3 beats the state of the art by a factor of more than 15 in terms of runtime.
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date