Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F16%3A70343" target="_blank" >RIV/60460709:41110/16:70343 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-33622-0_26" target="_blank" >http://dx.doi.org/10.1007/978-3-319-33622-0_26</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-33622-0_26" target="_blank" >10.1007/978-3-319-33622-0_26</a>
Alternative languages
Result language
čeština
Original language name
Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment
Original language description
Ambient Intelligence (AmI) is currently a perspective area of development intelligent systems that react on human presence, their behavior and AmI adapts to requirements based on contextual knowledge. The important issue in the study of AmI is thinking about context-aware preference. In the context of ubiquitous computing technologies there is not any access for users to the system at one point, but in different contexts. This creates need for context-sensitive preferences. The aim of context reasoning is getting new knowledge, so that systems or services were more intelligent. This process is not a trivial problem, so that we propose multidimensional view on context-aware knowledge for support of contextual reasoning. In this paper we introduce a new TCAP procedure for transformation context-aware preference through OLAP in the AmI. The OLAP technology enables us better analyzing contextual dependence on preferences and choosing relevant content for users in the AmI environment.
Czech name
Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment
Czech description
Ambient Intelligence (AmI) is currently a perspective area of development intelligent systems that react on human presence, their behavior and AmI adapts to requirements based on contextual knowledge. The important issue in the study of AmI is thinking about context-aware preference. In the context of ubiquitous computing technologies there is not any access for users to the system at one point, but in different contexts. This creates need for context-sensitive preferences. The aim of context reasoning is getting new knowledge, so that systems or services were more intelligent. This process is not a trivial problem, so that we propose multidimensional view on context-aware knowledge for support of contextual reasoning. In this paper we introduce a new TCAP procedure for transformation context-aware preference through OLAP in the AmI. The OLAP technology enables us better analyzing contextual dependence on preferences and choosing relevant content for users in the AmI environment.
Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA15-11724S" target="_blank" >GA15-11724S: DEPIES - Decision Processes in Intelligent Environments</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Software Engineering Perspectives and Application in Intelligent Systems: Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 2
ISBN
978-3-319-33620-6
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
283-292
Publisher name
Springer International Publishing
Place of publication
Switzerland
Event location
online
Event date
Apr 27, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000385788200026