Using Graph-Pattern Association Rules On Yago Knowledge Base

09/30/2018

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by   Wahyudi, et al.

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We propose the use of Graph-Pattern Association Rules (GPARs) on the Yago knowledge base. Extending association rules for itemsets, GPARS can help to discover regularities between entities in knowledge bases. A rule-generated graph pattern (RGGP) algorithm was used for extracting rules from the Yago knowledge base and a graph-pattern association rules algorithm for creating association rules. Our research resulted in 1114 association rules, where the value of standard confidence at 50.18 assumption (PCA) confidence at 49.82 standard confidence was also better than for PCA confidence