IndoorGML is an open standard for indoor spatial data modeling developed by the Open Geospatial Consortium (OGC) in 2014, defined as an XML-based exchange format that represents indoor spaces through hierarchical, graph-based structures capturing the topology and geometry of interior environments. It matters for indoor sensing and localization research because it provides a unified, interoperable framework for describing indoor spatial relationships, enabling applications such as navigation, tracking, and contact tracing to reason consistently about indoor locations and movement trajectories. The standard supports multiple layers of spatial representation, allowing it to model both the physical structure of buildings and the logical connectivity between spaces, making it applicable across diverse domains from emergency response to, more recently, proximity-based exposure monitoring systems like COVID-19 contact tracing.
Source Papers
- A Person-to-Person and Person-to-Place COVID-19 Contact Tracing System Based on OGC IndoorGML ↗ — A Person-to-Person and Person-to-Place COVID-19 Contact Trac
- A Standard Indoor Spatial Data Model—OGC IndoorGML and Implementation Approaches ↗ — A Standard Indoor Spatial Data Model—OGC IndoorGML and Imple