Journal of ICT Research and Applications
Vol. 13 No. 2 (2019)

Using Graph Pattern Association Rules on Yago Knowledge Base

Wahyudi Wahyudi (School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesha 10, Bandung 40132,)
Masayu Leylia Khodra (School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesha 10, Bandung 40132,)
Ary Setijadi Prihatmanto (School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesha 10, Bandung 40132,)
Carmadi Machbub (School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesha 10, Bandung 40132)

Article Info

Publish Date
30 Sep 2019

Abstract

The use of graph pattern association rules (GPARs) on the Yago knowledge base is proposed. Extending association rules for itemsets, GPARS can help to discover regularities between entities in a knowledge base. A rule-generated graph pattern (RGGP) algorithm was used for extracting rules from the Yago knowledge base and a GPAR algorithm for creating the association rules. Our research resulted in 1114 association rules, with the value of standard confidence at 50.18% better than partial completeness assumption (PCA) confidence at 49.82%. Besides that the computation time for standard confidence was also better than for PCA confidence.

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Journal Info
Journal of ICT Research and Applications
Website

Abbrev

jictra

Publisher

Institut Teknologi Bandung

Subject

Computer Science & IT

Description

Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet ...