Abstract
Indoor navigation has become more important these days due to the current situation worldwide in the aftermath of the outbreak of the COVID-19 pandemic, posing an unparalleled threat amounting to a humanitarian crisis on a global scale. Indoor navigation employs a variety of technologies, including Wi-Fi, Bluetooth, and RFID. Support for these technologies requires accurate information and appropriate processing and modeling to help and direct users of the optimal route to desired destinations and to monitor crowd density in order to maintain social distancing. This research will present a semantic indoor ontology model for indoor navigation and the reduction of human density in indoor space to ensure social distancing and prevent transmission. The proposed system is based on semantic representations of the components of navigation paths which, in turn, enable reasoning functionality. Despite the system’s complexity, the evaluation revealed that it functions well.
Highlights
People use GPS receivers on their smartphones to navigate while driving
The semantic indoor navigation system was implemented in Java and the Jena framework was used to handle the semantic ontology files
These results indicate the response time obtained by the semantic reasoner, the routing algorithm, and the density rules algorithm
Summary
People use GPS receivers on their smartphones to navigate while driving. Human movement from one place to another is not limited to outdoor spaces; there is a need for indoor navigation technology, which GPS may not be able to provide. Approximately 90% of human activities take place in an indoor environment [1]. A number of technologies specializing in indoor navigation, including positional techniques, have been developed over the past decade, with many researchers still working in this field. The outcomes of the latest indoor localization techniques are promising and can provide information to a variety of context-aware and location-based resources [2,3,4]. Airport, museum, and shopping mall visitor localization services and equipment location detection services serve as examples of such services
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