Web-based Force-directed Adaptive Device Selection for User Notification

Abstract

With the proliferation of the Internet of Things and smart devices, content presentation devices and content types are constantly increasing. However, there is little consideration given to selecting the appropriate devices for presenting a particular content. Therefore, we propose a web-based device selection method based on semantic data from the resource description framework. In this study, we use notifications as examples of content, and a network graph representing users, content, and devices is arranged in a two-dimensional space by our user-centric force-directed algorithm. By selecting device nodes near the user node from the placement results, devices are determined to present content. Based on the proposed algorithm, a device selection system and a notification presentation application were prototyped. The experimental results show that the proposed method has a higher probability of selecting the correct devices than the existing method of obtaining vectors from RDF data.