A Study on Ontology Creation and Inference Method for Recommendation of Solutions and Devices

Abstract

In an IoT solution using human activity recognition, devices that can be used may differ depending on the activity to be recognized. If we use the schema that has been proposed in previous studies for recommending combinations of solutions and devices, we cannot recommend the right devices for the activity, and the definition of solutions is duplicated. In this paper, we propose an ontology schema that connects the relationship between solutions and devices through a hierarchical concept of human activities. In addition, we propose a method for creating personalized recommendation candidates using it. As a result, we confirmed that the proposed method could represent the relationship between solutions and devices without duplication and recommend combinations of solutions and devices that fit the user's required activities.