This paper proposes a method for recommending views to be added to dashboards using Knowledge Graphs (KGs) and association rules. With the increasing importance of information visualization driven by digitalization, dashboards have become essential tools in various fields. However, creating dashboards remains a challenging task that requires experience and expertise. As a basic technology for supporting dashboard creation, this paper proposes a method to predict appropriate views to be added to a dashboard under creation. Three methods are proposed, based on knowledge graph embedding (KGE), association rules, and a combination of both, and evaluated with a dataset created from actual dashboard data.