Scalable Timeline Visualization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43928994" target="_blank" >RIV/49777513:23520/16:43928994 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/HSI.2016.7529624" target="_blank" >http://dx.doi.org/10.1109/HSI.2016.7529624</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/HSI.2016.7529624" target="_blank" >10.1109/HSI.2016.7529624</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Scalable Timeline Visualization

Popis výsledku v původním jazyce

Visualization of the timelines is commonly used in many different areas, such as historical education, medical systems, criminal investigations or social networks. In order to understand presented data, it is desirable to display not only the information itself, but also the relations between visualized entities and other, more detailed information, that will simplify orientation in the created timeline. As many of such information can be obtained from automatic sources, the amount of displayed data can be quite large and it is necessary to find a ways how to facilitate the navigation in the visualized data set. We present a method based on the PageRank evaluation of importance of each visualized entity, along with the tagging that allow user to specify which topics are interested to him. We describe the way how the weight of each entity is calculated and how is the whole visualization created. Along with this, we also present a small user study that we performed to validate our approach.

Název v anglickém jazyce

Scalable Timeline Visualization

Popis výsledku anglicky

Visualization of the timelines is commonly used in many different areas, such as historical education, medical systems, criminal investigations or social networks. In order to understand presented data, it is desirable to display not only the information itself, but also the relations between visualized entities and other, more detailed information, that will simplify orientation in the created timeline. As many of such information can be obtained from automatic sources, the amount of displayed data can be quite large and it is necessary to find a ways how to facilitate the navigation in the visualized data set. We present a method based on the PageRank evaluation of importance of each visualized entity, along with the tagging that allow user to specify which topics are interested to him. We describe the way how the weight of each entity is calculated and how is the whole visualization created. Along with this, we also present a small user study that we performed to validate our approach.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</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

USB Proceedings 2016 9th International Conference on Human System Interactions (HSI)

ISBN

978-1-5090-1728-7

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

150-156

Název nakladatele

The Institute of Electrical and Electronics Engineers (IEEE)

Místo vydání

Portsmouth

Místo konání akce

Portsmouth, UK

Datum konání akce

6. 7. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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