:: Volume 8, Issue 4 (3-2021) ::
jgit 2021, 8(4): 69-80 Back to browse issues page
Generating an Indoor space routing graph using semantic-geometric method
Javad Sadidi *, Zahra Joudaki, Hani Rezayan
Kharazmi University
Abstract:   (492 Views)
The development of indoor Location-Based Services faces various challenges that one of which is the method of generating indoor routing graph. Due to the weaknesses of purely geometric methods for generating indoor routing graphs, a semantic-geometric method is proposed to cover the existing gaps in combining the semantic and geometric methods in this study. The proposed method uses the CityGML data model, which is actually a semantic modeling of building space. The output of the method is also presented with several test scenarios, and their results. Using semantic information and semantic graphs is in fact a good strategy for purely geometric methods, and according to the results, the proposed semantic-geometric method for producing indoor routing graphs seems to be efficient.
Keywords: CityGML, routing, indoor building space, semantic graph.
Full-Text [PDF 1193 kb]   (166 Downloads)    
Type of Study: Research | Subject: GIS
Received: 2020/03/8 | Accepted: 2021/03/3 | Published: 2021/04/20

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Volume 8, Issue 4 (3-2021) Back to browse issues page