Development of Semantic Model of Multi-Level-Building Navigation Using Indoor Ontology and Dijkstra's Algorithm

Yuan, Y; Kong, X; Fang, G; Liu, L; Khruahong, S

Development of Semantic Model of Multi-Level-Building Navigation Using Indoor Ontology and Dijkstra's Algorithm

Yuan, Y Kong, X

Fang, G Liu, L Khruahong, S

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Publication Type:: Conference Proceeding
Citation:: 2019
Issue Date:: 2019-12-05

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Field	Value	Language
dc.contributor.author	Yuan, Y	en_US
dc.contributor.author	Kong, X https://orcid.org/0000-0001-7855-858X	en_US
dc.contributor.author	Fang, G	en_US
dc.contributor.author	Liu, L	en_US
dc.contributor.author	Khruahong, S	en_US
dc.date	2019-12-05	en_US
dc.date.issued	2019-12-05	en_US
dc.identifier.citation	2019	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137179
dc.description.abstract	Location based services (LBS) can be separated into a number of layers: technology layer, application layer, standard layer, and social-ethical layer. This paper presents an ontology development at standard layer. We developed an ontology to identify and classify indoor semantic information to guide the development of LBS applications for multi-level building navigation. This ontology proposed models of multilevel building properties as classes of building, level, zone, link, node, and coordinate. To apply this ontology, we develop an indoor navigation algorithm using the ontology classes and Dijkstra’s algorithm for shortest path in user navigation. A prototype and experiments are implemented to validate this ontology.	en_US
dc.relation.ispartof	The 20th International Conference on Parallel and Distributed Computing, Applications and Technologies	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Development of Semantic Model of Multi-Level-Building Navigation Using Indoor Ontology and Dijkstra's Algorithm	en_US
dc.type	Conference Proceeding
utslib.location.activity	Gold Coast, Australia	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
utslib.copyright.status	open_access	*
pubs.consider-herdc	false	en_US
utslib.copyright.embargo	2021-12-08T00:00:00+1100
pubs.finish-date	2019-12-07	en_US
pubs.start-date	2019-12-05	en_US

Abstract:

Location based services (LBS) can be separated into a number of layers: technology layer, application layer, standard layer, and social-ethical layer. This paper presents an ontology development at standard layer. We developed an ontology to identify and classify indoor semantic information to guide the development of LBS applications for multi-level building navigation. This ontology proposed models of multilevel building properties as classes of building, level, zone, link, node, and coordinate. To apply this ontology, we develop an indoor navigation algorithm using the ontology classes and Dijkstra’s algorithm for shortest path in user navigation. A prototype and experiments are implemented to validate this ontology.

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http://hdl.handle.net/10453/137179