Location context ontology model based on ubiquitous computing environment

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. © 2020 Elsevier B.V., All rights reserved.