Title |
Hierarchical LOD Concepts for Semantic Indoor-Outdoor Positioning |
Authors |
김현우(Kim, Hyunwoo );김경호(Kim, Kyungho);김명수(Kim, Myeongsu);홍석찬(Hong, Sukchan) |
DOI |
https://doi.org/10.12652/Ksce.2025.45.1.0121 |
Keywords |
지오코딩; 의미론; LOD; 위치추정; 비공간정보 |
Abstract |
In modern times, advancements in spatial information data models have led to the development of diverse forms of spatial information with high LOD(Levels of Detail). Meanwhile, vast amounts of non-spatial information are widely distributed both online and offline, which could significantly enhance the utility of spatial information as an information infrastructure when connected using geocoding technologies. However, traditional geocoding techniques are limited to estimating parcel and building locations, making it impossible to identify detailed locations for non-spatial information. There is a growing need for Semantic Geocoding technologies that utilize high-LOD, object-based data such as CityGML(City Geography Markup Language) to semantically classify and interpret information. Furthermore, the sheer diversity in the formats of non-spatial information poses a limitation on structuring such data and connecting it to spatial information. This necessitates research that interprets the semantics of unstructured, non-spatial information and automatically links it to spatial information without prior structuring. To define the scope of such efforts, this study proposes and defines the concept of Semantic Geocoding LOD. The proposed concept provides criteria for machines to distinguish and interpret location estimation factors within text, serving as a standard for utilizing detailed indoor and outdoor object locations. As a result, this approach enables machines to interpret text and estimate locations more precisely than existing methods, thereby allowing the connection of a greater volume of non-spatial information and enhancing the utility of spatial information. |