NDLI: Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19

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Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19

Content Provider	MDPI
Author	Alamri, Abdullah
Copyright Year	2021
Description	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.
Starting Page	607
e-ISSN	22209964
DOI	10.3390/ijgi10090607
Journal	ISPRS International Journal of Geo-Information
Issue Number	9
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2021-09-14
Access Restriction	Open
Subject Keyword	ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Information and Library Science Semantic Model Routing Algorithm Indoor Space Ontology Spatial Databases Indoor Navigation
Content Type	Text
Resource Type	Article

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