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Liu, L. (author), Zlatanova, S. (author), Zhu, Q. (author), Li, K. (author)
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...
conference paper 2017
document
Xiong, Qing (author), Zhu, Qing (author), Du, Zhiqiang (author), Zlatanova, S. (author), Zhang, Yeting (author), Zhou, Yan (author), Li, Yun (author)
Intelligent navigation and facility management in complex indoor environments are issues at the forefront of geospatial information science. Indoor spaces with fine geometric and semantic descriptions provide a solid foundation for various indoor applications, but it is difficult to comprehensively extract free multi-floor indoor spaces from...
journal article 2016
document
Zhu, Qing (author), Li, Yun (author), Xiong, Qing (author), Zlatanova, S. (author), Ding, Yulin (author), Zhang, Yeting (author), Zhou, Yan (author)
The Open Geospatial Consortium (OGC) Geography Markup Language (GML) standard provides basic types and a framework for defining geo-informational data models such as CityGML and IndoorGML, which provide standard information models for 3D city modelling and lightweight indoor network navigation. Location information, which is the semantic engine...
journal article 2016