RT - Journal Article T1 - Generating an Indoor space routing graph using semantic-geometric method JF - kntu-jgit YR - 2021 JO - kntu-jgit VO - 8 IS - 4 UR - http://jgit.kntu.ac.ir/article-1-753-en.html SP - 69 EP - 80 K1 - CityGML K1 - routing K1 - indoor building space K1 - semantic graph. AB - 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. LA eng UL http://jgit.kntu.ac.ir/article-1-753-en.html M3 10.52547/jgit.8.4.69 ER -