Large-Scale Distributed Semantic Augmented Reality Services - A Performance Evaluation

Dariusz Rumiński , Krzysztof Walczak


This paper presents an architecture for large-scale distributed AR services and an experimental evaluation of the main component – Semantic Augmented Reality Middleware. The architecture is based on a client-server design, which supports semantic modeling and building contextual AR presentations for a large number of users. The architecture is based on the Service Oriented Architecture (SOA) paradigm that enables building distributed systems that provide application functionality as services to either end user applications or other services. The proposed architecture consists of two client-side components and multiple server-side distributed service applications – semantic middleware and AR service providers. The presented findings are promising and demonstrate that an application of semantic web techniques can be a useful solution to implement large-scale contextual distributed AR environments.
Author Dariusz Rumiński (WIiGE / KTI)
Dariusz Rumiński,,
- Department of Information Technology
, Krzysztof Walczak (WIiGE / KTI)
Krzysztof Walczak,,
- Department of Information Technology
Journal seriesGraphical Models, ISSN 1524-0703, e-ISSN 1524-0711, (N/A 70 pkt)
Issue year2020
Publication size in sheets0.75
Article number101027
Keywords in Polishwzbogacona rzeczywistość, AR, semantyczny internet, architektura dla serwisów AR, oprogramowanie pośredniczące, ewaluacja ilościowa
Keywords in EnglishAugmented reality, AR, Semantic web, Architecture for AR services, CARE, middleware, Quantitative evaluation
ASJC Classification1704 Computer Graphics and Computer-Aided Design; 1712 Software; 2608 Geometry and Topology; 2611 Modelling and Simulation
Languageen angielski
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 04-06-2020, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.715; WoS Impact Factor: 2018 = 0.727 (2) - 2018=1.293 (5)
Citation count*3 (2020-09-21)
Additional fields
UwagiFirst online: 18 April 2019, Article Number: 101027
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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