Khamla NonAlinsavath Lukito Edi NugrohoKazuhiko HamamotoA ZipfM JstL HuQ TongZ DuY LiuY TangS.-C YehW.-H HsuM.-Y SuC.-H ChenK.-H LiuE JedariZ WuR RashidzadehM SaifM DekaJ JoshiN SinhaA TyagiA KushalA JainK MannayN BenhadjyoussefM MachhoutJ UreaH ChenT FininA JoshiJ HongE SuhS.-J KimZ MingM YanM BaldaufS DustdarF RosenbergS MalikS JainS AlhazbiL LotfiR AliR SuwailihA CastilloF BuzetoC CastanhoR JacobiW ChaochaisitM BesshoN KoshizukaK SakamuraX WangD ZhangT GuH PungK LeeJ LeeM.-P KwanD KunE VargaZ TothL MhadhbJ AkaichiM KarrayB Archimde
Many technologies have been used to identify the structure of context-based information in location-based service for positioning performance.Ontology based modeling is one of techniques that offer a domain that classify the type of location context entities.In order to represent the knowledge information in term of localization approach based indoor and outdoor conditions.This research proposes a location context ontology modeling to assort different locations that are linked together with multi-level of both indoor and outdoor conditions.A model provides the detail of proposed location context model and context reasoning in ubiquitous computing environment to test how location ontology can function at the same time and process the ability to infer more relations between location context entities.
Chongam KimEunkyung KimJeuyoung KimEunhye SongIn‐Young Ko
Ki-Chul LeeJung-Hoon KimJee-Hyong LeeKeon Myung Lee
Lin ShiFeiyu LinTianchu YangJun QiWei MaShoukun Xu
Keonsoo LeeSeungmin RhoMinkoo Kim