This HTML5 document contains 43 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n12http://localhost/temp/predkladatel/
n17http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n15http://linked.opendata.cz/resource/domain/vavai/subjekt/
n8http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F62156489%3A43110%2F13%3A00212477%21RIV14-MSM-43110___/
n7http://linked.opendata.cz/ontology/domain/vavai/
n16http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n20http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n4http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n14http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n11http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F62156489%3A43110%2F13%3A00212477%21RIV14-MSM-43110___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
We assume that one of the key reasons is in the difference between a standalone application and a web service. Both architectures have some advantages and disadvantages. The Standalone application (e.g. Nokia/OVI Maps) provides the required functionality. From the user point of view, main asset of this %22offline%22 approach is network connectivity independence. However, this kind of applications must be upgraded manually. Moreover, it is hard to get any data about the application usage because it requires additional actions from the user -- data are usually acquired through conventional ways, such as email or web forms. The online service such as Google Maps (including its mobile application) can offer the same functionality as the offline application. Nevertheless, a permanent connection to provider servers is necessary. This can be taken as a drawback. On the other hand, usage data collection is easier and can be done without the user intervention. The data collection provides a valuable analysis basis of the user habits and needs. This analysis is necessary for design of a complex %22user%22 based solutions such as Google Now. Augmented reality applications are usually based on the first mentioned approach. In this article, we describe our model of augmented reality as a service and compare its features with standalone solutions. Further, other important key aspects for large emergence of augmented reality services in a mainstream market are discussed. We assume that one of the key reasons is in the difference between a standalone application and a web service. Both architectures have some advantages and disadvantages. The Standalone application (e.g. Nokia/OVI Maps) provides the required functionality. From the user point of view, main asset of this %22offline%22 approach is network connectivity independence. However, this kind of applications must be upgraded manually. Moreover, it is hard to get any data about the application usage because it requires additional actions from the user -- data are usually acquired through conventional ways, such as email or web forms. The online service such as Google Maps (including its mobile application) can offer the same functionality as the offline application. Nevertheless, a permanent connection to provider servers is necessary. This can be taken as a drawback. On the other hand, usage data collection is easier and can be done without the user intervention. The data collection provides a valuable analysis basis of the user habits and needs. This analysis is necessary for design of a complex %22user%22 based solutions such as Google Now. Augmented reality applications are usually based on the first mentioned approach. In this article, we describe our model of augmented reality as a service and compare its features with standalone solutions. Further, other important key aspects for large emergence of augmented reality services in a mainstream market are discussed.
dcterms:title
Augmented reality services Augmented reality services
skos:prefLabel
Augmented reality services Augmented reality services
skos:notation
RIV/62156489:43110/13:00212477!RIV14-MSM-43110___
n7:predkladatel
n15:orjk%3A43110
n3:aktivita
n10:Z
n3:aktivity
Z(MSM6215648904)
n3:cisloPeriodika
7
n3:dodaniDat
n11:2014
n3:domaciTvurceVysledku
n17:1250019 n17:5570069 n17:4272803
n3:druhVysledku
n18:J
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
62515
n3:idVysledku
RIV/62156489:43110/13:00212477
n3:jazykVysledku
n14:eng
n3:klicovaSlova
augmented reality; location based services; client-server
n3:klicoveSlovo
n4:augmented%20reality n4:client-server n4:location%20based%20services
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[A26771F87B01]
n3:nazevZdroje
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
n3:obor
n9:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n11:2013
n3:svazekPeriodika
61
n3:tvurceVysledku
Koubek, Tomáš Šťastný, Jiří Procházka, David
n3:zamer
n16:MSM6215648904
s:issn
1211-8516
s:numberOfPages
6
n20:doi
10.11118/actaun201361072337
n12:organizacniJednotka
43110