Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

čeština

Název v původním jazyce

Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Multidimensional Design of OLAP System for Context-Aware Analysis in the Ambient Intelligence Environment

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

BD - Teorie informace

OECD FORD obor

—

Projekt

<a href="/cs/project/GA15-11724S" target="_blank" >GA15-11724S: DEPIES - Rozhodovací procesy v inteligentních prostředích</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

—

Počet stran výsledku

10

Strana od-do

283-292

Název nakladatele

Springer International Publishing

Místo vydání

Switzerland

Místo konání akce

online

Datum konání akce

27. 4. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000385788200026