A semantic data model for indoor navigation

Abstract

In this paper, we propose an indoor data model named Indoor Navigation Space Model (INSM). It is designed to support automatic derivation of the connectivity graph of a building. The INSM model provides an extended categorization of indoor spaces based on building semantics. It can be used to specify the nodes and edges of the connectivity graph. A UML class diagram of the INSM and a general approach of external data conversion are provided as well. An initial test of indoor path-finding is conducted and it demonstrates the feasibility of the INSM model to support indoor routing.