Improved and More Complete Conceptual Model for the Revision of IndoorGML (Short Paper)

Authors Abdullah Alattas, Sisi Zlatanova, Peter van Oosterom, Ki-Joune Li



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Author Details

Abdullah Alattas
  • Faculty of Environmental Design, Geomatics department, King Abdulaziz University, Jeddah, Saudi Arabia, mailto:Arch.alattas@gmail.com, Faculty of Architecture and the Built Environment, Delft University of Technology, Julianalaan 134, 2628 BL Delft, The Netherlands
Sisi Zlatanova
  • Faculty of Built Environment, University of New South Wales, NSW 2052, Sydney , Australia
Peter van Oosterom
  • Faculty of Architecture and the Built Environment, Delft University of Technology, Julianalaan 134, 2628 BL Delft, The Netherlands
Ki-Joune Li
  • Pusan National University, Kumjeong-Gu, Pusan 46241, Korea

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Abdullah Alattas, Sisi Zlatanova, Peter van Oosterom, and Ki-Joune Li. Improved and More Complete Conceptual Model for the Revision of IndoorGML (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 21:1-21:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.21

Abstract

With the increasing number of indoor navigation applications, it is essential to have clear and complete conceptual model (in the form of UML class diagram) for IndoorGML. The current version of IndoorGML standard has an incomplete class diagram (incomplete w.r.t. attributes, of which some are appearing in the XML/GML schema), and that provides confusion for the users of the standard. Furthermore, there are some issues related to unclear association names, unclear class names, classes that related to the Primal space and the Dual space, code lists not specific per type (which should have their own code list values), untyped relationships to external object classes, and semantically overlapping classes. In this paper, we propose an enhancement for IndoorGML conceptual model (UML class diagram) to avoid the misunderstanding. We propose a conceptual model that maps the classes of the standard in a better way. This conceptual model is the basis for 1) a database schema when storing IndoorGML data, 2) the XML schema when exchanging IndoorGML data, and 3) when developing IndoorGML applications with an intuitive and clear GUI. Furthermore, the proposed conceptual model provides constraints for more meaningful model and to define more sharply what is considered valid data. This paper briefly reports these preliminary results on the UML conceptual model.

Subject Classification

ACM Subject Classification
  • Information systems → Geographic information systems
  • Software and its engineering → Unified Modeling Language (UML)
  • Information systems → Location based services
Keywords
  • Navigation
  • Space
  • Boundary
  • CellSpace

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References

  1. Abdoulaye Abou Diakité and Sisi Zlatanova. Valid Space Description in BIM for 3D Indoor Navigation. International Journal of 3-D Information Modeling, 5(3):1-17, 2016. URL: http://dx.doi.org/10.4018/IJ3DIM.2016070101.
  2. Abdullah Alattas, Sisi Zlatanova, Peter Van Oosterom, Efstathia Chatzinikolaou, Christiaan Lemmen, and Ki-Joune Li. Supporting Indoor Navigation Using Access Rights to Spaces Based on Combined Use of IndoorGML and LADM Models. ISPRS International Journal of Geo-Information, 6(12):384, 2017. URL: http://dx.doi.org/10.3390/ijgi6120384.
  3. Abdoulaye A. Diakité, Sisi Zlatanova, and Ki Joune Li. ABOUT the SUBDIVISION of INDOOR SPACES in INDOORGML. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4(4W5):41-48, 2017. URL: http://dx.doi.org/10.5194/isprs-annals-IV-4-W5-41-2017.
  4. Jung-Rae Hwang, Hye-Young Kang, and Jin-won Choi. Development of an editor and a viewer for IndoorGML. Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness - ISA '12, page 37, 2012. URL: http://dx.doi.org/10.1145/2442616.2442625.
  5. Hirokazu Iida, K E I Hiroi, Katsuhiko Kaji, and Nobuo Kawaguchi. A Proposal of IndoorGML Extended Data Model for Pedestrian-Oriented Voice Navigation System. ACM SIGSpatial Workshop on ISA, 3(Figure 1), 2015. URL: http://dx.doi.org/10.1145/2834812.2834814.
  6. Hae-Kyong Kang and Ki-Joune Li. A Standard Indoor Spatial Data Model—OGC IndoorGML and Implementation Approaches. ISPRS International Journal of Geo-Information, 6(4):116, 2017. URL: http://dx.doi.org/10.3390/ijgi6040116.
  7. M. Kim and J. Lee. Developing a method to generate IndoorGML data from the omni-directional image. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(2W4):17-19, 2015. URL: http://dx.doi.org/10.5194/isprsarchives-XL-2-W4-17-2015.
  8. N E Klepeis, W C Nelson, W R Ott, J P Robinson, A M Tsang, P Switzer, J V Behar, S C Hern, and W H Engelmann. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. Journal of exposure analysis and environmental epidemiology, 11(3):231-252, 2001. URL: http://dx.doi.org/10.1038/sj.jea.7500165.
  9. Ki Joune Li. Indoorgml - A standard for indoor spatial modeling. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41(July):701-704, 2016. URL: http://dx.doi.org/10.5194/isprsarchives-XLI-B4-701-2016.
  10. Ki-Joune Li, Jiyeong Lee, Sisi Zlatanova, Thomas H. Kolbe, Claus Nagel, and Thomas Becker. OGCregistered IndoorGML. Open Geospatial Consortium, pages 1-17, 2015. URL: http://dx.doi.org/http://www.opengeospatial.org/.
  11. A. Makri, S. Zlatanova, and E. Verbree. an Approach for Indoor Wayfinding Replicating Main Principles of an Outdoor Navigation System for Cyclists. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(4W5):29-35, 2015. URL: http://dx.doi.org/10.5194/isprsarchives-XL-4-W5-29-2015.
  12. S. S. Mirvahabi and R. A. Abbaspour. Automatic extraction of IndoorGML core model from OpenStreetMap. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(1W5):459-462, 2015. URL: http://dx.doi.org/10.5194/isprsarchives-XL-1-W5-459-2015.
  13. Hyeong-Gyu Ryu, Taehoon Kim, and Ki-Joune Li. Indoor navigation map for visually impaired people. Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness - ISA '14, pages 32-35, 2014. URL: http://dx.doi.org/10.1145/2676528.2676533.
  14. S Zlatanova, K J Li, Christiaan Lemmen, and Peter J M van Oosterom. Indoor Abstract Spaces: Linking IndoorGML and LADM. 5th International FIG 3D Cadastre Workshop, pages 317-328, 2016. Google Scholar
  15. S. Zlatanova, P. J. M. Van Oosterom, J. Lee, K.-J. Li, and C. H. J. Lemmen. Ladm and Indoorgml for Support of Indoor Space Identification. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W1(October):257-263, 2016. URL: http://dx.doi.org/10.5194/isprs-annals-IV-2-W1-257-2016.
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