<div class="csl-bib-body">
<div class="csl-entry">Zhu, L., Shen, J., & Gartner, G. (2021). Ontology-driven context-aware recommendation method for indoor navigation in large hospitals. In A. Basiri, G. Gartner, & H. Huang (Eds.), <i>LBS 2021: Proceedings of the 16th International Conference on Location Based Services</i> (pp. 23–26). https://doi.org/10.34726/1747</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/18817
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dc.identifier.uri
https://doi.org/10.34726/1747
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dc.description
Published in “Proceedings of the 16th International Conference on
Location Based Services (LBS 2021)”, edited by Anahid Basiri, Georg
Gartner and Haosheng Huang, LBS 2021, 24-25 November 2021,
Glasgow, UK/online.
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dc.description.abstract
Navigating in complex and dynamic indoor spaces of large hospitals
is challenging. Since improving efficiency is a common goal for hospitals,
there is an urgent need for an accurate and personalized service recommendation
method in hospital navigation. To address this challenge, we
propose a context-aware recommendation method for personalized hospital
navigation. Firstly, an ontology-based contextual framework is designed for
hospital navigation using Protégé Web Ontology Language (OWL)-2. Then
rule-based contextual reasoning and information recommendation using
Semantic Web Rule Language (SWRL) are proposed to overcome the limitations
of ontology reasoning. Finally, some case queries are conducted using
RDF Query Language (SPARQL) to evaluate the usability of the contextual
ontology and rules.
en
dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Context-aware
en
dc.subject
Ontology
en
dc.subject
Recommendation
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dc.subject
hospital navigation
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dc.subject
SWRL rule
en
dc.subject
OWL
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dc.title
Ontology-driven context-aware recommendation method for indoor navigation in large hospitals
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/1747
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dc.contributor.affiliation
Key Laboratory of Virtual Geographic Environment (Nanjing Normal Uni-versity), Ministry of Education, Nanjing 210023, China
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dc.contributor.affiliation
Key Laboratory of Virtual Geographic Environment (Nanjing Normal Uni-versity), Ministry of Education, Nanjing 210023, China
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dc.contributor.editoraffiliation
University of Glasgow, United Kingdom of Great Britain and Northern Ireland (the)
