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Title Develop An Indoor Space Ontology For Finding Lost Properties for Location-Based Service of Smart City
ID_Doc 37657
Authors Khruahong, S; Kong, XY; Sandrasegaran, K; Liu, L
Title Develop An Indoor Space Ontology For Finding Lost Properties for Location-Based Service of Smart City
Year 2018
Published
DOI
Abstract Location-based services (LBS) provide location awareness intelligence to smart buildings. Finding lost properties in complex buildings using information and communication technologies (ICE) will be one of the LBS for smart city initiatives. The valued properties such as briefcase, mobile phone, wallet, handbag, and laptop may have a chance to be lost or are moved to somewhere in a building. If the property is lost, it could he staying in the same area when it was lost or be moved to anywhere both outside and inside building. GPS technique is used to search the lost property on the outdoor by the mobile or web application. However, indoor environment, it is very restrictive and doesn't have standard devices for looking for the property. Moreover, inside the building, some situations lead to being complicated such as closing corridor, electric shut down, or closing escalator. in this research, we develop an indoor space ontology model for finding the indoor lost property. The Bluetooth Low Energy devices (BLE) are applied to this research for analyzing the indoor locations. This ontology presents both static and dynamic location information for assisting BLE devices, users, and lost property. The privacy policy is design into the ontology to consider accessing to private lost property. This ontology can apply to 3-step searching process: computing user current location, determine property location and find lost property.
Author Keywords Smart city; ontology; indoor space ontology; Location-based Service; LBS; indoor navigation; Bluetooth Low Energy device; BLE
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000457691400011
WoS Category Computer Science, Theory & Methods; Telecommunications
Research Area Computer Science; Telecommunications
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