Indoor Space Model Based on Knowledge Graph

Abstract

In indoor space, a key issue that indoor location services need to solve is how to model the indoor space. With the rapid development of personal services in the indoor space, more and more personalized information has emerged. How to integrate this personalized information into the management of indoor space data has become the focus of attention. To solve this problem, considering the geometric, topological and personalized information of the indoor space, an indoor space model based on the knowledge map was established. First, combining people's perceptions of indoor space, the indoor space is divided from both functional and institutional perspectives. Secondly, the new concept, attributes and relations are expanded to build an indoor space ontology based on existing ontology to describe the indoor space characteristic. Thirdly, we build knowledge graph to describe the personalized information of the indoor entity. Finally, an example is proposed to illustrate the feasibility and effectiveness of the indoor space model.