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Conference Paper
The Data Model for the Composite Locations in Indoor Spaces
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- Authors
- JaeJun Yoo, Byung-Bog Lee, Minjung Kim
- Issue Date
- 2022-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2166-2168
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Recent applications, especially provided in indoor space, requires supporting several types of location representations, such as numerical coordinates, spatial identifiers - e.g. gazetteer, semantic keywords, network representation, etc. However, each of existing location models deals with a specific model or representation for locations in indoor spaces. In this paper, the data model for the composite location in indoor spaces to provide linking and mapping different types defined in relevant standards is proposed.
- KSP Keywords
- Data Model, Indoor Space, Network representation, location models