TY - JOUR
T1 - Integrating indoorGML and indoor POI data for navigation applications in indoor space
AU - Claridades, Alexis Richard
AU - Park, Inhye
AU - Lee, Jiyeong
N1 - Publisher Copyright:
© 2019 Korean Society of Surveying. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Indoor spatial data has great importance as the demand for representing the complex urban environment in the context of providing LBS (Location-based Services) is increasing. IndoorGML (Indoor Geographic Markup Language) has been established as the data standard for spatial data in providing indoor navigation, but its definitions and relationships must be expanded to increase its applications and to successfully delivering information to users. In this study, we propose an approach to integrate IndoorGML with Indoor POI (Points of Interest) data by extending the IndoorGML notion of space and topological relationships. We consider two cases of representing Indoor POI, by 3D geometry and by point primitive representation. Using the concepts of the NRS (node-relation structure) and multi-layered space representation of IndoorGML, we define layers to separate features that represent the spaces and the Indoor POI into separate, but related layers. The proposed methodology was implemented with real datasets to evaluate its effectiveness for performing indoor spatial analysis.
AB - Indoor spatial data has great importance as the demand for representing the complex urban environment in the context of providing LBS (Location-based Services) is increasing. IndoorGML (Indoor Geographic Markup Language) has been established as the data standard for spatial data in providing indoor navigation, but its definitions and relationships must be expanded to increase its applications and to successfully delivering information to users. In this study, we propose an approach to integrate IndoorGML with Indoor POI (Points of Interest) data by extending the IndoorGML notion of space and topological relationships. We consider two cases of representing Indoor POI, by 3D geometry and by point primitive representation. Using the concepts of the NRS (node-relation structure) and multi-layered space representation of IndoorGML, we define layers to separate features that represent the spaces and the Indoor POI into separate, but related layers. The proposed methodology was implemented with real datasets to evaluate its effectiveness for performing indoor spatial analysis.
KW - Indoor POI
KW - IndoorGML
KW - IndoorGML Integration
KW - Point of Interest
UR - http://www.scopus.com/inward/record.url?scp=85078058047&partnerID=8YFLogxK
U2 - 10.7848/ksgpc.2019.37.5.359
DO - 10.7848/ksgpc.2019.37.5.359
M3 - Article
AN - SCOPUS:85078058047
SN - 1598-4850
VL - 37
SP - 359
EP - 366
JO - Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
JF - Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
IS - 5
ER -