Browse > Article
http://dx.doi.org/10.12672/ksis.2014.22.1.065

A Linkage between IndoorGML and CityGML using External Reference  

Kim, Joon-Seok (Dept. of Computer Engineering, Pusan National University)
Yoo, Sung-Jae (Dept. of Computer Engineering, Pusan National University)
Li, Ki-Joune (Dept. of Computer Engineering, Pusan National University)
Publication Information
Spatial Information Research / v.22, no.1, 2014 , pp. 65-73 More about this Journal
Abstract
Recently indoor navigation with indoor map such as Indoor Google Maps is served. For the services, constructing indoor data are required. CityGML and IFC are widely used as standards for representing indoor data. The data models contains spatial information for the indoor visualization and analysis, but indoor navigation requires semantic and topological information like graph as well as geometry. For this reason, IndoorGML, which is a GML3 application schema and data model for representation, storage and exchange of indoor geoinformation, is under standardization of OGC. IndoorGML can directly describe geometric property and refer elements in external documents. Because a lot of data in CityGML or IFC have been constructed, a huge amount of construction time and cost for IndoorGML data will be reduced if CityGML can help generate data in IndoorGML. Thus, this paper suggest practical use of CityGML including deriving from and link to CityGML. We analyze relationships between IndoorGML and CityGML. In this paper, issues and solutions for linkage of IndoorGML and CityGML are addressed.
Keywords
IndoorGML; CityGML; Indoor Geoinformation; Indoor Navigation; Indoor data model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Kang, H. Y; Hwang, J. R; Lee, J. 2013, A Study on the Development of Indoor Spatial Data Model Using CityGML ADE, Journal of KSIS, 21(2):11-21.   과학기술학회마을   DOI   ScienceOn
2 Computational Geometry Algorithms Library, Accessed October 24. 2013. http://www.cgal.org
3 Hiller, B. 1984,The social logic of space.
4 Indoor Google Maps, Accessed October 24. 2013. http://maps.google.com/ help/maps/indoormaps/.
5 Kim, J. S; Han, Y; Li, K. J. 2012, K-anonymity in indoor spaces through hierarchical graphs, Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, 21-28.
6 Kolbe, T. H.; Groger, G; Plumer, L. 2005, Citygml interoperable access to 3d city models, Proceedings of the first International Symposium on Geo-Information for Disaster Management, 21-23.
7 Lee, J. 2004, 3d gis for geo-coding human activity in micro-scale urban environments, Geographic Information Science, 162-178.
8 Li, K. J. 2013, Geocoding Schema for Multimedia in Indoor Space Based on IndoorGML, Journal of KSIS, 21(3):1-10.
9 Li, K. J; Lee, J. 2013, Basic Concepts of Indoor Spatial Information Candidate Standard IndoorGML and its Applications, Journal of KSIS, 21(3):1-10.   과학기술학회마을   DOI   ScienceOn
10 Lee, J; Li, K. J; Zlatanova, S; Kolbe, T. H; Nagel, C; Becker, T. 2010, Requirements and Space-Event Modeling for Indoor Navigation, OGC 10-191r1.
11 OGC IndoorGML version 0.8.2. Accessed February 17. 2014. https://portal.opengeospatial. org/files/?artifact_id=56681.
12 Open Geospatial Consortium, 2007, Opengis geography markup language (gml) encoding specification, OGC 07-036, Version 3.2.1.
13 Tsetsos, V; Anagnostopoulos, C; Kikiras, P; Hasiotis, P; Hadjiefthymiades, S. 2005, A human-centered semantic navigation system for indoor environments, Proceedings of International Conference on Pervasive Services, 146-155.
14 BIMServer, Accessed October 24. 2013. http://bimserver.org.
15 buildingSMART, IFC4 (Industrial Foundation Classes XML 4) RC4, Accessed October 24. 2013. http://www.buildingsmart-tech.org/specifications/ifcxml-releases/ifcxml4-release.