In recent years, there has been an increasing movement away from traditional top-down organizational management toward flat organizational management in which members can perform their work more autonomously. However, compared to hierarchical organizations, overall management becomes more difficult when individual autonomy is respected. Therefore, this study aims to develop a matching mechanism that can manage an organization by putting the right person in the right place while respecting the autonomy of individuals. Specifically, we designed an ontology for tagging tasks and users to develop a support system for placing the right person in the right job while with the individual autonomy. Furthermore, we considered a matching method between tasks and users using tags, and discussed its applicability.

Several works have been carried out to estimate the criminal by link prediction using knowledge graph embedding in the Knowledge Graph Reasoning Challenge. Most of them have used the provided knowledge graphs by converting them into triples of subject, predicate and object (basic patterns).In this study, we compare the case in which prediction is made with the provided knowledge graph in its original form (event-centred model) and the case in which it is transformed into the basic pattern and discuss the differences between the prediction models.