Efficient Exploration of Linked Data Cloud

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10316283" target="_blank" >RIV/00216208:11320/15:10316283 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/15:00237438

Výsledek na webu

<a href="http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005558002550261" target="_blank" >http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005558002550261</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0005558002550261" target="_blank" >10.5220/0005558002550261</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Efficient Exploration of Linked Data Cloud

Popis výsledku v původním jazyce

As the size of semantic data available as Linked Open Data (LOD) increases, the demand for methods for automated exploration of data sets grows as well. A data consumer needs to search for data sets meeting his interest and look into them using suitablevisualization techniques to check whether the data sets are useful or not. In the recent years, particular advances have been made in the field, e.g., automated ontology matching techniques or LOD visualization platforms. However, an integrated approachto LOD exploration is still missing. On the scale of the whole web, the current approaches allow a user to discover data sets using keywords or manually through large data catalogs. Existing visualization techniques presume that a data set is of an expected type and structure. The aim of this position paper is to show the need for time and space efficient techniques for discovery of previously unknown LOD data sets on the base of a consumer's interest and their automated visualization w

Název v anglickém jazyce

Efficient Exploration of Linked Data Cloud

Popis výsledku anglicky

As the size of semantic data available as Linked Open Data (LOD) increases, the demand for methods for automated exploration of data sets grows as well. A data consumer needs to search for data sets meeting his interest and look into them using suitablevisualization techniques to check whether the data sets are useful or not. In the recent years, particular advances have been made in the field, e.g., automated ontology matching techniques or LOD visualization platforms. However, an integrated approachto LOD exploration is still missing. On the scale of the whole web, the current approaches allow a user to discover data sets using keywords or manually through large data catalogs. Existing visualization techniques presume that a data set is of an expected type and structure. The aim of this position paper is to show the need for time and space efficient techniques for discovery of previously unknown LOD data sets on the base of a consumer's interest and their automated visualization w

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of 4th International Conference on Data Management Technologies and Applications

ISBN

978-989-758-103-8

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

255-261

Název nakladatele

SciTePress

Místo vydání

Neuveden

Místo konání akce

Colmar, Alsace, France

Datum konání akce

20. 7. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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