A study on suggestion of predicates using the clustering of item names for making RDF of Open Data

Abstract

　In recent years, there has been increasing interest in Open Data. The utilization of Open Data has been promoted, and many organizations including the national government, local governments and other organizations are working on publishing and utilizing Open Data. Open data of Kagoshima City has been published in July 2016 as CSV format. Under Open Data of local governments, even if they are disclosed due to the difference in data format and the lack of linkage of data, there is no active utilization yet. In this research, we focused on the vocabulary that corresponds to the predicate of RDF form for Open Data, and proposed a method to suggest predicates by the clustering of item names for RDF of Open Data as teacher signals of Deep Learning. Then, we presented results of the predicate suggestion.