Towards the integration of indoorGML and indoorlocationGML for indoor applications

Conference paper (2017)

Authors

L. Liu Urban Data Science - Architecture and the Built Environment
S. Zlatanova Urban Data Science - Architecture and the Built Environment
Q. Zhu Southwest Jiaotong University
K Li Pusan National University
Research Group
Urban Data Science (Architecture and the Built Environment) (TU Delft)
Copyright: © 2017 L. Liu, S. Zlatanova, Q. Zhu, K. Li
DOI: https://doi.org/10.5194/isprs-annals-IV-2-W4-343-2017
More Info
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Published Date

2017

Language

English

Faculty

Architecture and the Built Environment

Department

Urbanism

Research Group

Urban Data Science

Abstract

This paper introduces and compares two types of GML-based data standards for indoor location-based services, i.e., iIndoorGML and iIndoorLocationGML. By elaborating the advantages of the both standards and their data models, we conclude that the two data standards are complementary to each other. A jointed data model is presented to show the integration of the two standards. iIndoorGML can supply subdivision of building for data of iIndoorLocationGML, and the semantics of locations defined in iIndoorLocationGML can be added to iIndoorGML. By proposing two use cases, we take the initiative in attempting to combine the use of the two standards. The first case is to collect details from files of the two standards for an indoor path; the second one is to generate verbal directions for indoor guidance from files of the two standards. Some future work is given for further development, such as automatic integration of separate data from both standards.