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학술대회 The Data Model for the Composite Locations in Indoor Spaces
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저자
유재준, 이병복, 김민정
발행일
202210
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2166-2168
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952387
협약과제
22IR5100, 초정밀 디지털 국토정보 획득을 위한 절대,상대,연속복합 측위고도화 기술개발, 유재준
초록
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 제안 키워드
Data Model, Indoor Space, Network representation, location models