Develop An Indoor Space Ontology for Finding Lost Properties for Location-Based Service of Smart City

Khruahong, S; Kong, X; Sandrasegaran, K; Liu, L

Develop An Indoor Space Ontology for Finding Lost Properties for Location-Based Service of Smart City

Khruahong, S Kong, X

Sandrasegaran, K

Liu, L

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Publication Type:: Conference Proceeding
Citation:: ISCIT 2018 - 18th International Symposium on Communication and Information Technology, 2018, pp. 54 - 59
Issue Date:: 2018-12-24

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Field	Value	Language
dc.contributor.author	Khruahong, S	en_US
dc.contributor.author	Kong, X https://orcid.org/0000-0001-7855-858X	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.contributor.author	Liu, L	en_US
dc.date.issued	2018-12-24	en_US
dc.identifier.citation	ISCIT 2018 - 18th International Symposium on Communication and Information Technology, 2018, pp. 54 - 59	en_US
dc.identifier.isbn	9781538684580	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127875
dc.description.abstract	© 2018 IEEE. Location-based services (LBS) provide location awareness intelligence to smart buildings. Finding lost properties in complex buildings using information and communication technologies (ICT) 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 be 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.	en_US
dc.relation.ispartof	ISCIT 2018 - 18th International Symposium on Communication and Information Technology	en_US
dc.relation.isbasedon	10.1109/ISCIT.2018.8588014	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Develop An Indoor Space Ontology for Finding Lost Properties for Location-Based Service of Smart City	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Location-based services (LBS) provide location awareness intelligence to smart buildings. Finding lost properties in complex buildings using information and communication technologies (ICT) 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 be 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.

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http://hdl.handle.net/10453/127875